51 jobs found

Job Description Job Description At American Screening Corp we stand behind our vision, mission and core vales. We want to be recognized as the World's leading provider of quality rapid screening and medical products. Our mission is to deliver quality products, great customer experience , support humanity and help fight drug addiction. Our core values are Commitment, Continuous Self, Integrity & Ethics, Communications & Transparency and a Winning Mindset Improvement. DUTIES AND RESPONSIBILITIES Oversee data strategy inclusive of digital analytics data, reporting and analytic platforms Profient with Microsoft Access Lead overall digital analytics, tag management solutions and eCommerce optimization testing tools. Work with internal teams and 3rd party partners on how to move the business forward. Experience/familiarity with Google Analytics, Mixpanel, Tableau, SQL to generate reports and visual dashboards Communication skills with the ability to drive and explain insights from data. Understanding of Google Tag Manager. Manage A/B and multivariate testing tools, such as Google Optimize Develop future third-party partners by investigating industry leaders and providing recommendations EDUCATION and/or EXPERIENCE The ideal candidate will have:4-year Bachelor Degree 1 - 3 years' job experience in related digital analytics field eCommerce Experience preferred. Strong computer skills (Windows, Email, Word, Excel) Willingness to learn Overriding analytics orientation Excellent communication and interpersonal skills Strong accuracy working with numbers Demonstrates leadership ability and can work in a team environment Can negotiate skillfully to win concessions without damaging relationships Can martial resources (people, support) to get things done LANGUAGE SKILLS Must have ability to read and interpret financial statements, general business periodicals, professional journals, operating and maintenance instructions procedure manuals. Ability to write routine reports and correspondence. Ability to communicate effectively with customers and employees / management of the company. MATHEMATICAL SKILLS Above average ability to both calculate figures and amounts while understanding the connections in business model of the various connectors which enable managers to present an opinion. An advanced ability to quickly asses and review numbers as presented. REASONING ABILITY Must have ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job. Company Description American Screening is a Shreveport family owned business. We have experienced consistent growth and stability since our beginning in 2004. We are a premier ISO 13485 Certified manufacturer and distributor of rapid drug and alcohol tests, infectious disease tests, cardiac tests, and medical supplies to a global market. We specialize in providing products that meet CLIA, FDA, EC Directive 98/79 CE, and Health Canada requirements. We are the leader in distributing rapid diagnostics tests. Please check out our website: Company Description American Screening is a Shreveport family owned business. We have experienced consistent growth and stability since our beginning in 2004. We are a premier ISO 13485 Certified manufacturer and distributor of rapid drug and alcohol tests, infectious disease tests, cardiac tests, and medical supplies to a global market. We specialize in providing products that meet CLIA, FDA, EC Directive 98/79 CE, and Health Canada requirements. We are the leader in distributing rapid diagnostics tests. Please check out our website:

Job Description Job Description Job Title: Supply Chain Planning & Reporting Specialist Location: Neptune City, NJ Type: Direct Hire Compensation: $80,000.00 - $90,000.00 Contractor Work Model: Onsite - onsite Hours: 8 AM- 5 PM M-F Responsibilities The Supply Chain Planning & Reporting Specialist is responsible for facilitating the monthly Sales & Operations Planning (S&OP) process to ensure alignment between demand, supply & cross functional teams toward achieving overall business objectives & the Operational Plan. This role analyzes historical sales data, forecasts, inventory levels, and operational capacity to develop actionable insights that influence decision-making. Partner with Sales and Marketing teams to validate demand forecasts and integrate market intelligence, including promotions, seasonality, and new product launches, into planning assumptions. Analyze historical sales trends and forecast performance to support accurate demand planning initiatives. Develop, maintain, and analyze KPI dashboards and reporting tools related to forecast accuracy, inventory turns, fill rate, service levels, and Plan vs. Actual performance. Prepare recurring and ad hoc reports to support leadership decision-making and operational reviews. Coordinate and prepare materials for monthly S&OP meetings, including Demand Review and Supply Review sessions. Present key findings, supply-demand gaps, risks, and recommendations to cross-functional stakeholders and leadership teams. Conduct "what-if" scenario analysis to evaluate the impact of supply chain disruptions, capacity limitations, or shifts in customer demand. Support contingency planning and risk mitigation strategies through data-driven analysis. Conduct system data audits and partner with cross-functional stakeholders to ensure accuracy of information. Requirements Bachelor's degree in supply chain management, Business Administration, Economics, Finance, or a related field required. 2-5 years of experience in Supply Chain, Demand Planning, Inventory Planning, Business Analytics, or a related analytical role. Strong analytical and problem-solving skills with the ability to interpret complex datasets and identify trends. Advanced Microsoft Excel skills, including Pivot Tables, VLOOKUP/XLOOKUP, and Power Query. Experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics. Familiarity with business intelligence and data visualization tools including Tableau or Power BI. Excellent communication & presentation skills with the ability to translate data into actionable business insights that influence business decision making. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. Collaborative mindset with experience working cross-functionally across Sales, Operations, Finance, and Supply Chain teams. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description At CGS Business Solutions, we're dedicated to helping skilled IT and business professionals take the next meaningful step in their careers. Whether you're exploring project-based consulting roles or seeking a long-term position, we connect you with opportunities that align with your expertise, your goals, and your growth trajectory. Backed by deep industry insight and our proven TalentFlow Framework, we ensure every role we present is thoughtfully matched to your skills, passions, and career ambitions. If you're ready for a role that challenges you and moves your career forward, we're currently partnering with leading organizations to fill the following opportunity: Position Summary: Our nationwide Manufacturing Customer in the Food and Beverage space is seeking an HCM Manager (Oracle HCM) to be a key leader in driving the success of the enterprises initiatives (Lift and Shift), with primary responsibility for the Human Capital Management (HCM) domain. This role will oversee the system architecture, implementation, operations support, and ongoing optimization of H2R processes, ensuring they are tightly aligned with both the OF platform and business processes. You will serve as a product manager for HCM, shaping the product roadmap to align with industry best practices, and emerging technology advancements. Location: Irvine, CA (Hybrid - 3 days onsite each week) Responsibilities Lead and mentor the IT Application Support team, developing strategies, policies, and procedures that align with company objectives Monitor team performance, set clear goals, and foster continuous improvement through regular evaluations and development initiatives Help the team with priorities and remove roadblocks to make sure technical have sufficient testing coverage Application Support & Performance Oversee the support and maintenance of business-critical applications, ensuring timely resolution of issues, service optimization, and effective problem-solving Coordinate with cross-functional teams to address application-related incidents and service requests Education and Experience: Education: Bachelor's degree in Computer Science, IT, HR, or a related field (required) Implementation Experience: Proven track record with OF implementations, including at least three E2E projects and two full-cycle implementations covering H2R process areas (required) ERP Knowledge: 8+ years of experience with Oracle ERP products, with strong understanding of platform functionality, cross-functional integrations, and hands-on expertise in H2R process cycles (required) Fusion Experience: 3+ years of experience specifically with the OF platform, including functional and technical capabilities (preferred - if no fusion experience, EBS R12 is required) Knowledge Advanced, hands-on experience in Oracle Fusion implementation, development, and maintenance. Advanced, hands-on experience in techno functional configurations of the platform - like not limited to as listed below: Configurations, Value sets, Flex fields, Attributes, Profiles, Workflow rules, Document types, Legal entities, Business units, Workforce structures, Plan configurations, Compensation structures, Security groups, Integrations, Setups, and other oracle system administration responsibilities. Deep functional knowledge of the Hire-to-Retire (H2R) process oracle setups and associated modules and be able configure them ground up, including and not limited to: Recruiting & Onboarding Workforce Management Compensation & Benefits Talent & Performance Management Employee Self-Service Retirement & Separation Technical Skills Proficiency in Oracle platform extensions, modifications, and customizations (ex: PL/SQL, VBCS, Redwood UI. etc.). Solid understanding of data architectures, management, reporting, and analytics, including OTBI, BI Publisher, and FBDI. Experience with systems integration using Oracle Integration Cloud (OIC), SOAP/REST APIs, with exposure to MuleSoft preferred. Implementation Methodologies Strong expertise in AIM methodology, OUM, and SDLC practices. Skilled in applying best practices, hybrid models, and Agile/SAFe frameworks to deliver projects effectively. Demonstrated success in leading and delivering full lifecycle Fusion projects from requirements gathering to deployment, adoption, and ongoing optimization. Able to use, and apply tools like Jira, Visio, Lucid, Confluence to create user stories, architectures, vision boards, technical and functional designs Program & Vendor Management Track record of leading cross-functional teams, consultants, and SI partners to deliver successful outcomes. Experience in managing vendors, evaluating new products and platforms, and overseeing solution adoption. Skilled in drafting and managing RFPs, SOWs, and contracts; facilitating vendor assessments and partner selection. About CGS Business Solutions CGS Business Solutions is a nationally recognized leader in IT staffing and consulting, delivering top-tier talent across Applications, Cloud & Infrastructure, Cybersecurity, Data & AI, and Engineering. As a multi-year INC 5000 winner and one of California's Best IT Recruitment Firms, we're known for combining boutique-level service with enterprise-grade results. We're also proud to be named one of the Orange County Business Journal's Fastest Growing Companies, earning the distinction for five consecutive years as we continue to expand into new markets across the U.S. Companies trust CGS to attract, engage, and retain elite technology talent-giving them the advantage they need to lead with confidence in a rapidly evolving digital landscape

Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details

Job Description Job Description Company Description RRD provides marketing, packaging, print, and business services to the world's most respected brands. The company's proprietary technology, advanced data analytics, and expertise fuel organizational decision-making from strategy through execution, delivering sustainable solutions with the lowest possible environmental impact. Global organizations and regulated industries trust RRD to reduce complexity and drive audience connections across the entire customer journey. Job Description Position summary The Presentation Workflow Coordinator is an experienced position delivering exceptional customer service to our clients by providing timely and accurate presentations support of an intermediate to advanced level. Advanced ability to assess documents, with a technical eye to detect and ensure proper corrections (creation, formatting, edits, proofing, etc.) for requesters. The position requires advanced software aptitude in those programs used for presentations, as well as speed and accuracy in a high-volume, high-pressure production environment. The Presentations Workflow Coordinator may require the training of team members and may be responsible for the day-to-day coordination of workflow within a shift or site. position is responsible for providing presentation services for our clients. Job duties ( denotes an "essential function") Intakes work requests from the client; including clarification of job instructions and negotiation of deadlines with the requester. Seeks alternate solutions to deadline requests, as needed Prioritizes work requests across team and coordinates/balances multiple projects based on experience and following established guidelines, especially when working with escalated deadlines or issues Applies own creativity, grammatical and/or composition skills to design and layout elements in presentations or materials to effectively support the client's intended message. Acts as a leading definitive resource for all questions relating to presentations, proofreading and quality assurance by the team Detects formatting and compositional errors; verifies citations are properly formatted; checks corrected proofs against mark-up for quality assurance Performs presentation design work of all levels with focus on identification and correction of errors in complex documents to ensure quality of return product to requesters. Adheres to and monitors team members' adherence to formatting standards, utilizing generally accepted formatting corrections and requisite resources, with an understanding of the client's business environment. Demonstrates proper professional expectations for team members when dealing with client requesters and client work requests, including meeting deadlines and delivering high-quality work Responsible for development and delivery of on-going training of new and existing team members in existing processes, as well as new trends or processes for presentations work Facilitates focus and coordination on and between shifts in the production of deliverables to the client in order to meet or exceed the client's expectations for quality, timeliness and service Trains more junior staff members, as needed Communicates with manager and/or client on job or deadline issues in a timely and professional manner Assists the Lead, Supervisor or Manager in the execution of administrative and/or other procedures or systems across impacted team members Facilitates team's adherence to company policies (conduct, attire, performance, attendance) Works collaboratively, demonstrating open and flexible communication, within and across team members Contributes to recommendations for individual development goals, trainings, or performance expectations to Lead, Supervisor or Manager to enhance team skill levels and quality outputs Working conditions Position operates at sites with maximum of 24/7 operations. Individual shift requirements will vary by site. Ability to work overtime as needed. Work is performed in a professional work environment. Professional/business casual attire required. Hazards include working with office machines (computers, peripherals, copiers, faxes, scanners, bindery equipment, paper cutters, paper, toner) and cleaning supplies. Must be able to work sitting down most of the time. Qualifications Bachelor's degree or equivalent with years of experience able to substitute Minimum of 3 years prior office experience, proofreading, presentations or design experience Advanced knowledge of Microsoft Office suite (PowerPoint, Excel, Visio as examples); able to technically troubleshoot applicable software specific to the business/client; Advanced in various Adobe PDF and Creative Suite applications (Illustrator, Photoshop as examples) Advanced knowledge of presentations and/or proofreading procedures and/or generally accepted practices Extensive experience in business terminology, presentations and/or proofing formats; skill and efficiency in use of requisite resources Strong attention to detail; able to work on multiple projects simultaneously Able to apply intermediate to advanced requisite knowledge of appropriate grammar, spelling, composition to work requests Must have good organizational skills Must be able to meet deadlines and complete all projects in a timely manner Ability to handle sensitive and/or confidential documents and information Able to exercise good judgment to make decisions that conform to business needs and policy Able to troubleshoot more complex or advanced tasks, equipment or software concerns on own; understands when to escalate a problem to a supervisory level Ability to maintain professional composure when working with immediate deadlines Ability to work both independently and collaboratively as part of a team Ability to work in a fast paced environment Ability to communicate professionally both verbally and in writing Must be self-motivated with a positive attitude Proven customer service skills are required in order to create, maintain and enhance customer relationship Additional Information The range of pay for this role at the noted RRD location is $28.90 - $43.36/ hour. Typically, roles follow step progressions to a target rate or set increments over time. Depending on the role, in addition to the hourly rate of pay, the total compensation package may also include overtime, shift differential, call-in, and/or stand-by pay. RRD's benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts. Shift: M-F, 8:00 am - 4:00 pm All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen. RRD is an Equal Opportunity Employer, including disability/veterans

Job Description Job Description About Us: Versana is an industry-backed data and technology company on a mission to make the syndicated loan market better. By digitally capturing agent banks' data on a real-time basis and centralizing it onto a single platform, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market's most credible source of deal information. About You: Versana is looking for a highly motivated Technical Lead to guide our Application Development team's technical implementation of Versana's real-time syndicated loan platform. The platform delivers a streamlined interface that provides clients with secure, real-time access to loan data, analytics, and positions. As Technical Lead, you'll work closely with seasoned engineers, product and project managers, and UX designers to drive the technical direction, ensure delivery excellence, and foster a culture of innovation and collaboration. You must have a strong technical foundation in full-stack engineering, a passion for scalable design, and a hands-on approach to mentorship and problem-solving. You will play a pivotal role in shaping one of Versana's product verticals-leading the design and delivery of performant, secure, and intuitive applications that set a new standard for the syndicated loan market. Key Responsibilities: Technical Delivery In collaboration with Architects, oversee the technical direction Drive successful delivery of solutions, ensuring quality, performance, and scalability. Collaborate with Product and UX teams to translate client needs into high-impact, high-visibility solutions. Build test automation across the full stack of our software and enforce engineering best practices. Optimize application performance and reliability in a cloud environment. Technical Leadership Serve as the technical authority and primary point of contact for the squad. Guide architectural discussions, code reviews, and implementation decisions. Ensure adherence to coding standards, architectural principles, and security best practices. Identify and introduce new tools and frameworks to improve team efficiency and product quality. Establish and evolve the technical foundation and culture for the Application Development squad. Collaboration & Communication Partner with Product Managers and Technical Project Managers to define scope, timelines, and priorities. Communicate project status, risks, and dependencies to stakeholders clearly and proactively. Collaborate with other leads to ensure alignment across squads and technical domains. Mentorship & Team Development Provide day-to-day technical mentorship, unblock challenges, and foster a culture of continuous learning. Help onboard and support new engineers, ensuring consistent growth and high engagement. Collaborate with People Managers to identify development opportunities and provide performance feedback. Discover ways to increase team productivity and efficiency through improved processes and tooling. Must Have: BS or BA in Computer Science or related field. 10+ years of full-stack development experience (Java/Spring Boot backend and React/Angular with TypeScript/JavaScript frontend). Strong understanding of application architecture, design patterns, and performance optimization. Proven experience leading technical projects or teams in an agile environment. Proficiency with REST APIs, GraphQL, and database technologies (SQL and NoSQL). Hands-on experience with Git, Maven/Gradle, and CI/CD pipelines. Excellent communication, analytical, and problem-solving skills. Curiosity and willingness to learn, teach, and grow within a collaborative team environment. Nice to Have: Knowledge of Docker, Kubernetes, and cloud computing platforms. Experience with end-to-end testing frameworks (Playwright, Selenium, Cucumber, etc.). Exposure to advanced UI frameworks, charting libraries, or design systems (AG Grid, D3, etc.). Familiarity with accessibility and responsive design principles. Experience in financial services, particularly syndicated loans or leveraged finance. Track record of building scalable enterprise applications within a regulated domain. Additional Information This job description is intended to describe the general nature and level of work performed by individuals in this role. It is not intended to create a contract of employment for any specific duration of time or on any set or fixed terms. Employment with Versana is at will, meaning that either the employee or the Company may terminate employment at any time, with or without cause or notice, in accordance with applicable law. This role is designed and expected to be classified as exempt under applicable law. Equal Opportunity Employer We are committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Among other things, Versana will provide reasonable accommodations to qualified individuals with disabilities and sincerely held religious beliefs, in accordance with applicable law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details

Job Description Job Description Description: AI/ML Technical Lead CASCOM ESD Enterprise Analytics/AI Program Schedule: Full-Time / 1.0 FTE Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA Clearance: Active Final Secret Required The Opportunity We're looking for an AI/ML Technical Lead who still builds. This position requires hands-on technical leadership across AI/ML solutions using CASCOM, GCSS-Army, SAP, and other Army data. The successful candidate must be capable of personally coding, evaluating, deploying, and sustaining models-not simply directing an AI strategy or managing data science teams. Potential use cases include GenAI/OpenAI, RAG, Copilot, document extraction, anomaly detection, equipment-readiness and maintenance forecasting, fleet automation, recommendation capabilities, and supply forecasting. What You'll Do Lead selection and technical refinement of three baseline AI/ML use cases. Define mission questions, data requirements, technical baselines, performance metrics, and acceptance criteria. Perform hands-on data exploration and feature engineering. Develop, train, validate, and comparatively evaluate machine-learning models. Conduct error analysis and document model limitations. Develop selected GenAI, RAG, forecasting, anomaly-detection, or recommendation capabilities. Work with GCSS-Army SMEs to validate business rules and interpret model results. Partner with Azure Data/MLOps engineering resources to package, deploy, version, monitor, and sustain models. Establish appropriate human-review processes for model outputs affecting operational decisions. Develop model cards, evaluation results, release documentation, known limitations, and retraining criteria. Integrate analytical outputs into dashboards, Power Apps, APIs, or other operational solutions. Participate in demonstrations and production-readiness reviews. .Requirements: Must-Have Qualifications Active final Secret clearance. 7+ years of data science, machine learning, advanced analytics, or applied AI experience. 4+ years developing machine-learning solutions. Hands-on production AI/ML development experience. Strong Python and SQL skills. Experience delivering at least three substantive models or AI capabilities. At least one model personally taken from requirements through production or operational deployment. Experience with Azure AI/ML services or a comparable cloud environment. Ability to explain model evaluation, deployment, monitoring, and retraining. Strong experience with pandas, NumPy, scikit-learn, and at least one major ML/deep-learning framework. Experience with at least two of the following: Forecasting Anomaly detection Classification Recommendation engines Optimization Document extraction NLP, RAG, or GenAI Experience establishing measurable model-performance criteria. Experience with feature engineering, training, validation/test data, error analysis, explainability, and model documentation. Bachelor's degree in computer science, data science, statistics, mathematics, operations research, engineering, or related discipline, or equivalent specialized experience. Strongly Preferred Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services. Defense logistics, maintenance, readiness, fleet, supply-chain, acquisition, property, or financial analytics. GCSS-Army, SAP ECC, ERP, or maintenance-system data. Government-cloud or classified deployment experience. Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation. Integration of model outputs with Power BI, Power Apps, APIs, or operational applications. Experience presenting technical findings to operational users and senior leadership. About Xtreme Solutions XSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities. Equal Employment Opportunity Xtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment. Equal Opportunity Employer Individuals with Disabilities Protected Veterans

Job Description Job Description Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities: Architect, design, and implement scalable Azure-based data lake solutions. Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Provide technical leadership, ensuring adherence to best practices and quality standards. Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. Optimize Databricks resources for high-volume data processing without exceeding budget. Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. Develop and enforce robust data governance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance and proactively resolve production issues. Collaborate with cross-functional teams to align project objectives with business goals. Translate technical challenges into actionable insights for executive teams. Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience: Bachelor's or Master's degree in IT or a related discipline. 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred). Technical Skills: Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. Experience in designing and developing scalable ETL pipelines and optimizing data workflows. Deep understanding of data migration from on-premises to cloud, cloud to cloud. Leadership and Soft Skills: Proven ability to lead diverse teams and manage end-to-end analytics projects. Exceptional communication and collaboration skills for engaging executives and stakeholders. Strong sense of ownership, accountability, adaptability, and commitment to results. Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have: Familiarity with big data tools like Hadoop, Kafka, and Spark. Experience with visualization tools such as PowerBI or QlikSense. Knowledge of AI/ML, NLP, and GenAI concepts. Familiarity with AGILE and KANBAN methodologies. Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: T&S Future Freight Platform - Jigsaw Description: Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes. The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap. Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following: An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase Optimize business processes and define master data maintenance processes Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required, What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner, Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting. Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP Develop a data platform solution to ingest, host and distribute data between multiple integration points Business Application: RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr Data Modelling, Data Engineering, Data Integration Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. Powered by JazzHR aBI8is58bZ

Job Description Job Description Top Skills: LMS Administration Inventory Management Instructional Design Essential Duties and Responsibilities Learning Management System Administration Administer, maintain, and optimize the Learning Management System (LMS). Manage user accounts, learning assignments, certifications, and learning paths. Maintain system integrity, troubleshoot issues, and coordinate vendor support. Support system upgrades, testing, and implementation of new functionality. Reporting and Analytics Develop recurring and ad hoc reports and executive dashboards. Monitor compliance, certifications, and learning effectiveness. Analyze data and provide recommendations to improve business performance. Learning Content Development Design and maintain eLearning, job aids, guides, assessments, and knowledge articles. Ensure learning content reflects current operational processes and adult learning principles. Business Communications Develop professional communications for frontline agents, supervisors, managers, and leadership. Prepare operational announcements, policy updates, training notifications, and change management communications. Responsible for ensuring timely, creative and accurate dissemination of contact center communications, multimedia content and information Create a variety of content for platforms, ensuring quality, accuracy and effective storytelling that aligns with applicable messaging Operational Support Partner with Operations, Quality, Workforce Management, HR, and Leadership to support strategic initiatives. Provide consultation and performance support across all levels of the contact center. Device Inventory Management Maintain accurate device inventory records. Perform monthly and annual inventory reconciliations. Coordinate equipment assignments, returns, audits, and lifecycle management. Minimum Qualifications Bachelor's degree in Instructional Design, Business, Communications, Education or a related field, or equivalent combination of education and experience. Three (3) to five (5) years of experience administering a Learning Management System. Three (3) to five (5) years of experience supporting a contact center environment. Advanced proficiency with Microsoft Office, particularly Excel and PowerPoint. Excellent written, verbal, organizational, analytical, and project management skills. Preferred Qualifications Experience with Absorb, Cornerstone, Docebo, LearnUpon, or similar LMS platforms. Experience using Articulate Storyline, Rise, Adobe Captivate, or comparable authoring tools. Knowledge of adult learning theory, instructional design, and change management. Experience supporting technical support or customer care organizations. Core Competencies Learning Management Systems Administration Business Communication Instructional Design and Content Development Reporting and Data Analytics Project Management Contact Center Operations Expertise Continuous Improvement Collaboration and Stakeholder Management Performance Expectations Maintain accurate LMS records and high system availability. Deliver timely executive reporting and actionable analytics. Publish clear, professional communications that support operational readiness. Complete monthly and annual device inventory reconciliations with high accuracy. Support operational initiatives that improve employee capability and customer experience

About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is seeking an experienced Principal Windows Systems Administrator to lead the design, implementation, and management of enterprise Windows infrastructure and Azure Virtual Desktop environments. This role will be critical in supporting our DevSecOps initiatives and ensuring secure, scalable, and efficient system operations for defense and space systems. The ideal candidate will bring deep expertise in Windows system administration, Azure cloud infrastructure, and security hardening while working in a fast-paced environment supporting mission-critical applications. Role Responsibilities: Design, deploy, and manage Azure Virtual Desktop (AVD) environments including host pools, session hosts, and user profiles to support distributed workforce requirements Administer and optimize Group Policy Objects (GPOs) across enterprise domains to enforce security policies, user configurations, and system settings Conduct comprehensive security and vulnerability scanning using industry-standard tools, and remediate identified vulnerabilities in accordance with compliance requirements Manage Windows Update deployment strategies, including WSUS administration, patch testing, and enterprise-wide update rollouts with minimal operational disruption Oversee some Linux virtual machine environments within hybrid infrastructure, ensuring proper integration with Windows systems and maintaining cross-platform operational excellence Design and troubleshoot complex networking configurations including VPNs, subnets, routing, firewalls, and load balancers in both on-premises and Azure environments Architect and maintain Azure infrastructure components including virtual networks, storage accounts, resource groups, and identity management solutions Lead Security Technical Implementation Guide (STIG) compliance efforts by implementing and validating security baselines across a mixed fleet Provide technical leadership and mentorship to junior system administrators and contribute to the development of best practices and standard operating procedures Collaborate with DevSecOps teams to integrate infrastructure-as-code practices and automation workflows for system provisioning and configuration management Required Qualifications: U.S. Citizenship and active secret security clearance Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent practical experience 7+ years of hands-on experience in Windows system administration in enterprise environments Advanced expertise in Azure Virtual Desktop deployment, management, and optimization Demonstrated proficiency in Group Policy creation, management, and troubleshooting across complex Active Directory environments Strong experience with security and vulnerability scanning tools (e.g., Nessus, Qualys, Rapid7) and remediation workflows Proven track record managing Windows Server Update Services (WSUS) or equivalent patch management solutions In-depth knowledge of networking protocols, architectures, and troubleshooting methodologies (TCP/IP, DNS, DHCP, VPN) Solid understanding of Azure cloud services, Azure networking (VNets, NSGs, Application Gateway), and infrastructure management Hands-on experience implementing and validating STIG compliance on Windows and Linux systems Preferred Qualifications: Active Top Secret clearance with ability to obtain TS/SCI Microsoft certifications such as Azure Administrator Associate, Azure Solutions Architect Expert, or Windows Server Hybrid Administrator Associate Proficiency in basic Linux system administration tasks. Experience with Infrastructure-as-Code tools (Terraform, ARM templates, Bicep) Knowledge of containerization technologies (Docker, Kubernetes) and their integration with Windows infrastructure Familiarity with DevSecOps practices, CI/CD pipelines, and automation frameworks Experience with PowerShell scripting and automation for system administration tasks Background supporting Department of Defense (DoD) or federal government IT environments Experience with monitoring and observability tools (Azure Monitor, Log Analytics, Prometheus, Grafana) Knowledge of identity and access management solutions (Azure AD, ADFS, MFA implementation) Experience with disaster recovery planning and implementation in cloud environments What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 130,000 - 170,000 USD per year(Huntsville, AL) Compensation details: 00 Yearly Salary PIda68e5b312f7-2570

Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you an Principal AI/ML Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: U.S. Citizenship 10+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 7 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Works well independently as well as on a team. Strong communication skills. Key Skills: You will design, create, test, and productize AI/ML algorithms to solve business challenges. The AI/ML models you create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Need an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. You may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Location: Annapolis Junction, MD / Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR cDeBOm5dlB

Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details

Job Description Job Description Senior Physical Electronic Security Technician - Commercial Enterprise Systems Location: Colorado Department: Physical Security / Commercial Systems Employment Type: Full-Time Position Summary We are seeking an experienced Senior Physical Electronic Security Technician with extensive expertise in enterprise electronic security systems, specifically the e nterprise access control platforms, to install, service, and maintain commercial electronic security systems across a wide range of enterprise environments. The ideal candidate will possess deep technical knowledge of integrated access control, IP video surveillance, intrusion detection, intercom systems, and security networking. This individual will lead installation, commissioning, troubleshooting, preventative maintenance, and system upgrades while ensuring the highest standards of quality, reliability, and customer satisfaction. This role requires a technician who can work independently, lead field activities, mentor junior technicians, and interact professionally with customers, project managers, vendors, and internal operations teams. Key Responsibilities Electronic Security Systems Install, commission, troubleshoot, and maintain enterprise electronic security systems. Perform advanced programming, configuration, and diagnostics of access control systems. Configure and maintain: Intelligent controllers Access control panels Card readers Electric locking hardware Request-to-exit devices Door position switches Elevator control integrations Install and support enterprise IP video surveillance platforms and associated hardware. Configure cameras, recording servers, video storage, and analytics. Diagnose hardware, firmware, software, and communication failures. Commercial Enterprise Security Infrastructure Install and service integrated electronic security systems for commercial office buildings, healthcare facilities, educational campuses, manufacturing facilities, municipal buildings, and other enterprise environments. Coordinate system upgrades, expansions, and service activities with customers while minimizing disruption to daily operations. Perform system commissioning and acceptance testing for new construction and retrofit projects. Ensure installations comply with customer specifications, manufacturer requirements, and industry best practices. Support service calls, preventative maintenance programs, and emergency repair requests. Systems Integration Integrate security platforms with: Video Management Systems (VMS) Intrusion Detection Systems (IDS) Visitor Management Systems Building Automation Systems (BAS) Fire Alarm Interfaces Intercom and Communications Systems Configure TCP/IP communications between enterprise security devices. Troubleshoot network communication issues involving switches, VLANs, PoE infrastructure, and fiber optic networks. Installation & Commissioning Lead field installation activities for new security system deployments. Read and interpret: Construction drawings Security riser diagrams Wiring diagrams Floor plans Sequences of operation Install and terminate: Category cable Fiber optic cable Composite security cable RS-485 communications Low-voltage power circuits Perform commissioning, customer acceptance testing, training, and project turnover. Maintenance & Service Perform preventative maintenance inspections. Respond to scheduled and emergency service calls. Diagnose complex hardware and software failures. Replace defective equipment and perform firmware and software upgrades. Complete service reports and maintain accurate documentation of all work performed. Leadership Mentor junior technicians. Lead installation and service teams on commercial projects. Coordinate with project managers, general contractors, customer representatives, and subcontractors. Provide technical guidance during complex installations and troubleshooting activities. Ensure installations meet company quality standards, manufacturer specifications, and applicable electrical and life safety codes. Required Qualifications 5+ years of experience installing and servicing enterprise electronic security systems. 3+ years of advanced experience with Lenel OnGuard, CCure, Genetec, or ProWatch Systems . Extensive experience with commercial enterprise security systems including access control, video surveillance, intrusion detection, and integrated security platforms. Strong understanding of: Access Control IP Video Surveillance Intrusion Detection Security Networking Low Voltage Systems Experience with enterprise security server architecture. Strong knowledge of: TCP/IP networking VLANs Power over Ethernet (PoE) Fiber optics Windows Server environments SQL fundamentals Ability to independently diagnose complex hardware and software issues. Ability to read electrical and low-voltage construction drawings. Excellent customer communication, organization, and documentation skills. Preferred Qualifications Experience with: Genetec Security Center Milestone XProtect Avigilon Control Center Honeywell Pro-Watch Software House C•CURE 9000 Experience integrating intelligent locking hardware from manufacturers such as: ASSA ABLOY Allegion OSHA 10 or OSHA 30 certification. Manufacturer certifications for enterprise access control, video management, or intrusion detection platforms. Experience managing customer-facing service projects and leading installation teams. Technical Skills Enterprise Access Control Lenel OnGuard Administration Intelligent Controllers IP Camera Systems Video Management Systems Intrusion Detection Systems Intercom Systems Fiber Optic Installation Low Voltage Cabling Door Hardware Integration Network Troubleshooting TCP/IP SQL Databases Windows Server Power Supplies Security Networking System Commissioning Preventative Maintenance Root Cause Analysis Physical Requirements Lift up to 50 pounds. Work from ladders and lifts. Travel between customer sites as required. Work in occupied commercial buildings, construction sites, and secure facilities. Ability to participate in after-hours service calls, project cutovers, and occasional on-call rotations. What Success Looks Like The successful candidate consistently delivers reliable, high-quality electronic security solutions that exceed customer expectations. They serve as a technical expert for enterprise security systems, proactively resolve complex issues, ensure projects are completed safely and efficiently, and provide leadership that enhances team performance and customer confidence. Through technical excellence, professionalism, and a commitment to quality, they help reinforce Justified Technology's reputation as a trusted provider of integrated commercial security solutions. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work.

Job Description Job Description We are looking for a CMM Programmer to join our growing company. In this role, you will support our production team, ensuring everything runs smoothly based on the day's production schedule. Our customers drive the work we do. Employees are empowered and driven to provide the best in class service. As an employee, you are well compensated and eligible for paid time off, medical and dental coverage. The CMM Programmer supports the manufacturing operations for the CMM's and all related activities. The CMM Programmer will coordinate and support all activities concerning the Zeiss CMM's including programming, troubleshooting, planned maintenance, annual certifications, repairs, upgrades, etc. They will also be responsible for programming the CMM to measure per drawing specifications and reporting the results. $33.00 per hour Tasks listed are not meant to be all-encompassing: Maintain safety and good housekeeping standards for the site Work under current and approved processes (Shively and Customer) Coordinate, review and present all required reports to management and customers Provide excellent customer service to internal and external customers Coordinate and support all activities concerning the CMMs including programming, troubleshooting, planned maintenance, annual certifications, repairs, upgrades etc. Program the CMM to measure per drawing specifications and report the results Devise and implement new programs and measurement methods that will be used to conduct quality control inspection of incoming material for conformance to specificationManage and program all communications between the gage, the CMM Reporter, Q Das, and report outputs Participate in Gage Recall and Certification tracking activities Report and document Non-Conformances, Corrective Actions, and Continuous Improvements Make decisions within the limits of general standards or procedures Report near misses and incidents and cooperate with investigations Demonstrate and exemplify the Shively Bros. Inc. Core Values Perform other duties as assigned Qualifications: Ability to work independently with little to no supervision Good written and oral communication skills Ability to work well with others, exhibiting teamwork Good interpersonal and leadership skills Ability to multitask Attention to detail Intermediate/Advanced knowledge of materials and tooling Intermediate/Advanced knowledge of gages and CMM's GD&T format knowledge Proficient with Zeiss Calypso and modus 1.6 Renishaw Education and Experience: High school diploma or equivalent preferred Three years of experience in a similar position Physical Requirements : Prolonged periods of standing and sitting at a desk and working on a computer Must be able to lift to 35 pounds at a time Must be able to access and navigate the facility Company Description Become an Employee Owner. Established in 1947, Shively Bros has grown into an industry-leading, North American family of companies. We offer an extensive range of manufacturing and services for manufacturers, including Supply Chain Management, Cutting Tool Presetting, Gage Calibration Management, Lab Management, Engineering Services, Repair/Regrind Management, Scrap Recovery, Business Intelligence Analytics, and Vending or other Point-of-Use Solutions. Company Description Become an Employee Owner. Established in 1947, Shively Bros has grown into an industry-leading, North American family of companies. We offer an extensive range of manufacturing and services for manufacturers, including Supply Chain Management, Cutting Tool Presetting, Gage Calibration Management, Lab Management, Engineering Services, Repair/Regrind Management, Scrap Recovery, Business Intelligence Analytics, and Vending or other Point-of-Use Solutions.

Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).