415 jobs found

About Arcticom, LLC Arcticom LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: ERP Test Engineer Location - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Database-Layer Systems Engineering & TDD Strategy (Immediate Focus) Serve as the primary technical authority for evaluating contractor-delivered MilPDS Oracle database code, PL/SQL packages, stored procedures, triggers, views, and schema updates. Analyze legacy, non-TDD contractor code deliverables and design a technical roadmap to transition the program to a Test-Driven Development model at the database layer (covering both outer-loop acceptance and inner-loop unit test strategies). Architect strategies to extract embedded business rules out of legacy user interface layers and triggers into modular, independently testable database APIs. Write production-grade database test routines and automated unit/integration test suites (e.g., using utPLSQL or database-native frameworks) to independently validate contractor deliverables and maintain transactional isolation. Architect patterns to isolate component-divergent business rules (e.g., Active, Reserve, Guard variants) and prevent cross-component rule regression. Develop automated scripts and data factory utilities for synthetic test data generation, database state resets, and environment staging to ensure repeatable, isolated, and fully unattended test execution. Automated Pipeline Integration, Data Hygiene & Release Gating (Near-Term Focus) Architect, build, and integrate automated database test suites and database version control (Schema-as-Code) directly into the program's emerging CI/CD pipeline. Establish automated Cross-System Traceability Daemons within the pipeline to programmatically scan for and reconcile developer-found defects (siloed as JIRA Spikes) with the authoritative system of record (ALM Octane) before code promotion, securing CPAR data hygiene metrics. Integrate background execution recorders to capture API transaction traffic, clickstreams, and database queries during unscripted/exploratory testing runs, programmatically converting them into structured, repeatable test assets and code templates. Establish automated Test Readiness Review (TRR) technical gates within the pipeline, preventing code migration unless automated database checks, least-privilege security validation, and compliance evidence requirements are met. Persistent WDP AI Architecture & Advanced Automation/Agentic Workflows (Future Focus) Design and implement data schemas, metadata catalogs (Collibra), and Python-based Retrieval-Augmented Generation (RAG) databases on WDP Databricks to sustain a persistent, multi-session context model. Engineer a secure conversational interface using GenAI.mil hooks, enabling senior leadership to query live release readiness (e.g., 'Is Release 7.1 ready?') and receive real-time, mathematically proven quality validations. Research, architect, and deploy autonomous or semi-autonomous agentic workflows to automate test case generation, failure log analysis, continuous database test monitoring, and test asset generation. Design and implement an automated feedback loop that ingests production anomaly logs, executes rapid root-cause analysis, and programmatically feeds findings back to the database test-suite generation engine to continuously harden pre-release gates. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's degree in computer science, Computer Engineering, Information Technology, or a relevant field. 5-10 years of experience in database engineering, software quality engineering, or test automation, including Oracle PL/SQL development. Demonstrated experience designing and implementing Test-Driven Development (TDD) practices at the database or application layer. Must be a US Citizen. Must have or be able to attain a SECRET security clearance. Knowledge, Skills, Abilities, and Other Characteristics Deep knowledge of Oracle database architecture, PL/SQL, and Test-Driven Development (TDD) methodologies. Strong understanding of CI/CD pipelines, schema-as-code practices, and automated release/compliance gating. Working knowledge of Databricks, metadata cataloging tools (e.g., Collibra), and Retrieval-Augmented Generation (RAG) architectures. Familiarity with agentic and generative AI workflow design, including secure conversational query interfaces. Positive attitude and a strong commitment to delivering quality work. Strong communication skills (written and verbal) to properly articulate complex technical concepts to management and other IT development partners. Preferred Experience with utPLSQL or other database-native automated testing frameworks. Experience with Databricks, RAG-based architectures, or agentic AI workflow development. Agile development experience. Active SECRET security clearance. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Typical work hours are 7:30 a.m. to 4:15 p.m. (Central Time). This job may require additional hours. Work hours may change at Management's discretion with or without prior notice. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a GRC Engineer for a contractor role within the Technology GRC (TechGRC) group. The candidate will work as part of the automation team, leveraging solid experience in Node.js, React, APIs, and microservices to automate compliance controls and enable real-time monitoring. Responsibilities: The successful candidate will join the automation team in automating compliance controls and processes, working toward near real-time compliance monitoring for the organization. Build a compliance automation platform and tools to provide a comprehensive view of the organization's compliance posture. Take ownership and participate in all aspects of software development activities. Introduce new insights from internal or external sources to improve reporting tools across the organization. Continuously improve and maintain SharePoint sites, wikis, and other documentation portals. Define and implement team goals, delivering solutions that balance business needs with software maintainability. Conduct fast prototyping of ideas and concepts while researching the industry's latest technology trends. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience. 5+ years of hands-on software design and development experience. Proven ability to write reusable, testable, and efficient code. Strong hands-on experience in API design and development with Node.js and Python, utilizing frameworks such as ExpressJS and Flask. Knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, and MongoDB. Understanding of server-side templating languages such as EJS. Strong understanding of modern development practices including Agile, CI/CD, Kubernetes, Docker, and microservices architecture. Understanding of front-end technologies including HTML, CSS, ReactJS, and Redux. Strong interpersonal, verbal, and written communication skills with strong planning abilities. Ability to multitask and adapt to changing priorities and requirements. Ability to address and resolve complex technical problems using appropriate tools and techniques. Preferred Qualifications: Knowledge of compliance frameworks such as SOC 2, FedRAMP, ISO, and PCI is a plus. Cloud Site Reliability Engineering (SRE) experience is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Genesis10 is currently seeking a Database Administrator II for an onsite direct hire opportunity with a prestigious university located in Pittsburgh, PA. Compensation: $65,000 - $70,000 per year, W2, based on qualifications Position Overview: This role is responsible for supporting mission-critical production, test, and development applications used for campus administration. The ideal candidate will support Oracle Database Administration, Apache Tomcat, Banner Administration, and middleware integrations. The position involves supporting the data warehouse and ETL processes, troubleshooting software errors, and working with application teams on database architecture and quality assurance. Key Responsibilities: Conduct advanced Oracle Database Administration tasks, including database creation and maintenance, tuning, capacity planning, backup and recovery, program migrations, and security implementation/enforcement/audit Provide technical leadership and guidance to less senior database administrators Architect high availability systems and implement, document, and test Disaster Recovery solutions Install, maintain, and integrate Middle Tier technologies including Apache Tomcat Coordinate with the Project and Portfolio Management Office (PPMO) to conduct project management duties such as research, scoping, resource planning, and risk analysis Mentor team members, develop documentation and technical guidelines and diagrams Research emerging technologies and trends in the Oracle Database and applications market and develop proposals on how these trends impact the environment Assist with the implementation of new software and upgrades of existing software Work with module leaders to plan and implement vendor patches and upgrades Build and configure Banner modules to perform needed functionality according to documented processes and procedures Work with vendors to diagnose integration, functionality, and performance issues Monitor and manage support tickets and provide Banner application and functional support Primary Requirements: Bachelor's degree in computer science, IT or a related field from an accredited educational institution 3-5+ years of related work experience, or an equivalent combination of experience and training Advanced SQL skills and experience migrating database objects Advanced Shell Scripting Advanced understanding of application server hardware and software architecture Advanced level of applied knowledge of database structures, theories, principles, practices, and processes Ability to execute complex database administration tasks to support the campus ERP and related technologies Ability to troubleshoot and support the campus ERP application with a strong analytical sense Ability to install, maintain, and integrate database and application components Desired Skills: Ability to conduct independent research into technical subjects and present findings or recommendations Ability to make and defend decisions in ambiguous technical environments Strong analytical and organizational skills, attention to detail, in addition to outstanding written and verbal communication, technical writing, and presentation skills Ability to initiate and follow through with work responsibilities and to meet deadlines Ability and willingness to learn new technologies and skillsets Ability to correlate fixes available in patches with identified functional and technical issues Ability to establish and maintain effective working relationships with the university community Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

JOB TITLE: Infrastructure Design and Support Associate System Engineer JOB LOCATION: Jacksonville, FL (hybrid) WAGE RANGE : 35-39/hr JOB NUMBER: 21175 JOB DESCRIPTION Associate IT Systems Engineers are responsible for monitoring, installation, configuration, debugging, administration, troubleshooting and maintenance of technology solutions. Associate IT Systems Engineers provide technical support, troubleshoot problems and perform scripting/programming to ensure stable and efficient operation of technology solutions. Essential functions: • Performs installation, monitoring, testing, configuration, migration, maintenance and troubleshooting of assigned technology • Manages system/application environment and ongoing operations • Ensures that the technologies are updated with current, stable, and compliant architecture and applications that meet enterprise standards • Researches, designs, implements and tests technology solutions • Proactively monitors and reports performance and utilization of assigned technologies • Troubleshoots software and/or hardware issues/failures • Resolves alerts and performs remediation activities • Manages problem or escalated tickets and tasks and out of cycle requests from systems/software owners • Collects and presents data for reporting and planning • Assists with developing tactical strategies, processes and procedures related to systems/application administration • Determines migration and upgrade impacts and diagnose/resolve complex technology/application errors • Collaborates with IT and business area partners on work groups and initiatives Determines best course of action for meeting business needs • Writes programming/scripting • Participate in Disaster Recovery planning and exercises • Ensures execution and alignment to architectural standards and blueprints. • Performs on-call activities as needed for the environment and technologies Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Pay Range: $49.00hr - $54.00hr Job Overview: The selected candidate will be assigned to the Office of Information Technology, serving the business unit's needs with respect to facilitating software development efforts, documenting critical business processes, analyzing current business functions for effectiveness and efficiency opportunities, assisting in process redesign, assisting in development and testing. SCOPE OF SERVICES: Ensure software development standards are adhered to. Duties may include analyzing financial systems and dependent business processes and assisting in re-engineering in areas impacted by an ongoing business transformation. Duties may also include development, maintenance, and serving as a subject matter expert for applications dealing with complex financial business processes on large cross-functional application projects, ensuring that robust and scalable solutions are implemented. EDUCATION: Bachelor's degree in computer science, Information Systems, or another related technical field, or equivalent work experience. EXPERIENCE: The candidate must have a minimum of 7+ years of experience as a lead developer or development manager. 5+ years of broad experience working with development technologies, including Azure SQL, SQL Server, and Oracle databases or similar relational databases. Highly desired: Microsoft Visual Studio/.NET. PRIMARY JOB DUTIES/ TASKS: The candidate must be able to perform the following duties and/or tasks: Work as a developer, facilitator, and subject matter expert for applications and services dealing with complex financial business processes on large cross-functional application projects, ensuring that robust and scalable solutions are implemented. Provide guidance and oversight to quality assurance on all new code from inception through integration, staging, and production environments. Identify, analyze, and resolve problems and issues with troubleshooting tools and techniques as well as teamwork. Work with the team toward continuous improvement; may include design, definition of roadmaps, standardization of processes and methodologies; collaborate with other developers and architects to drive guidelines, methodologies, and documentation. Work in partnership with distributed cross-functional teams to ensure all aspects of the project are communicated, supported, and delivered to the highest standards. Develop and apply knowledge of trends, relevant software development technologies, and methodologies. JOB SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES: Knowledge of terminology and concepts of relational databases, including SQL proficiency. Knowledge of Microsoft Visual Studio/.Net preferred. Knowledge of ORMs, Entity Framework, and n-Hibernate preferred. Experience with the development and maintenance of software systems dealing with complex financial business processes. Strong verbal and written communication, interpersonal, conflict resolution, and customer service skills. Ability to work effectively in a fast-paced, high-volume, deadline-driven environment. Ability to balance multiple demands and work both independently and as part of a team. Ability to conduct complex systems analysis and translate user requirements into business solutions. Ability to integrate research and best practices into problem avoidance and continuous improvement. Ability to effectively communicate and lead development teams. Ability to display professionalism in dealing with all levels of management and staff. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $65.00hr - $70.00hr Job Overview: The Senior Technical Architect plays a pivotal role in designing and implementing complex technical solutions that align with business objectives and industry best practices. This role is critical in ensuring the scalability, performance, and security of large-scale systems while fostering a culture of continuous learning and innovation within the team. Key Responsibilities: Design and architect large-scale solutions using cloud platforms such as AWS and Azure, ensuring optimal scalability, performance, and security throughout the system lifecycle. Mentor and train team members on architectural best practices and technology stacks, ensuring a robust talent pipeline and mitigating delivery risks through knowledge sharing. Research and implement emerging technologies, such as microservices and containerization, to develop future-proof solutions that meet requirements and adhere to industry standards. Collaborate with stakeholders to gather requirements and leverage technical expertise to craft and execute a technology strategy that aligns with overarching business goals. Skill Requirements: Expert knowledge in system architecture design and cloud technologies (AWS, Azure). Excellent proficiency in software development methodologies and practices (Agile, DevOps). Strong understanding of security best practices and performance optimization techniques. Familiarity with microservices architecture and containerization (Docker, Kubernetes). In-depth knowledge of integration patterns and data management solutions. Static Timing Analysis (STA). Logic Synthesis. Auto Place and Route (APR). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

DCS has an exciting opportunity for a Technical Writer providing support to the Air Force Life Cycle Management Center/Airborne Warning and Control System (AFLCMC/HBS/WIW). The Airborne Warning and Control System (AWACS) Division, has the collective Air Force Materiel Command (AFMC) mission responsibility to deliver airborne Battle Management Command & Control (BMC2) capabilities that support joint, allied, coalition, humanitarian, and homeland defense operations. Modernization efforts enable continued involvement with worldwide operations by revitalizing legacy mission systems, replacing aging computer architectures, integrating multi sensor data fusion, and improving global expeditionary readiness and availability. Additionally, the Division assists in the planned divestiture of the E 3 platform and in shaping development of follow on capabilities for future airborne C2 systems. This is a full-time Hybrid position located at Tinker AFB, OK. Essential Job Functions: Duties include, but not limited to: Prepare original technical papers, manuals, policies, specifications, and reports in scientific, technical, or professional fields. Write and edit user documentation, how-to guides, instruction manuals, procedures, and training materials. Translate complex technical concepts into clear, user-friendly documentation tailored to specific audiences. Ensure documents meet agency style, formatting, tone, and accuracy standards. Analyze drawings, specifications, test results, mock-ups, and other inputs to develop or update content. Collaborate with engineers, program managers, vendors, and customer representatives to define technical specifications. Maintain and organize an electronic library of signed documents and final presentations. Ensure consistency and clarity across related documents, including citation of sources and generation of tables of contents. Conduct final reviews for layout, grammar, and editorial quality before release. Support document revisions, version control, and coordination of different editions as needed. Use Microsoft Office and desktop publishing software for content creation, layout, and formatting. Travel: 20% (Hanscom AFB, Seattle) Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must hold an active Secret clearance. High School Diploma plus 10 years of directly related experience, 5 of which must be in the DoD or a Bachelor's Degree in a related field and 3 years of experience in the respective technical/professional discipline being performed, 3 of which must be in the DoD. Desired Skills: Technical Skills Demonstrated experience in technical writing within DoD information systems, business systems, or defense-related environments, translating complex concepts into clear and actionable documentation. Proficiency in developing and maintaining a wide range of technical documents, including user guides, instruction manuals, policies, procedures, specifications, marketing materials, and technical reports. Ability to analyze and interpret technical drawings, specifications, mockups, product samples, and engineering documentation to create accurate and comprehensive content. Experience ensuring compliance with document formatting standards, version control requirements, source citation practices, and document management procedures. Skilled in creating supporting visual content such as charts, graphs, tables, forms, and presentation materials to enhance technical communication and user understanding. Strong editing and quality assurance capabilities with expertise in grammar, consistency, document reviews, and standardization across multiple publications. Proficient in the Microsoft Office Suite, including Word, PowerPoint, Excel, and Outlook, for document development, collaboration, and document repository management. Interpersonal Skills Excellent written and verbal communication skills with the ability to gather, organize, and present information clearly for technical and non-technical audiences. Strong relationship-building abilities with experience collaborating effectively with customers, program managers, engineers, subject matter experts, vendors, and cross-functional teams. Exceptional attention to detail and organizational skills, ensuring document accuracy, consistency, and compliance with established standards. Ability to manage multiple priorities simultaneously while meeting deadlines in fast-paced and dynamic project environments. Proactive self-starter with the initiative to independently research, develop, and update documentation with minimal supervision. Adaptable and professional team player who works effectively with individuals from diverse backgrounds, disciplines, and geographic locations. Demonstrated ability to incorporate stakeholder feedback, navigate complex review cycles, and maintain positive working relationships while delivering high-quality documentation.

We are seeking a forward-thinking Associate SATCOM Systems Engineer to join the Advanced Concepts and Technology (ACT) team at Viasat Government. In this role, you will help drive the next generation of satellite communications by focusing on conceptual design, proof of concept testing, and rapid prototyping, with an emphasis on L-band network topologies, services, and hardware solutions. You will analyze customer needs, interface with internal and external stakeholders, and track industry trends to define early-stage concepts. Acting as an innovation bridge, your validated prototypes and proof-of-concepts will ultimately be handed off to our core engineering team for full-scale development into formal products and network solutions. Key Responsibilities: Requirements Gathering: Collaborate with internal teams, external stakeholders, and customers to translate operational needs and market trends into technical concepts. Concept & Prototyping: Envision, design, scope, research, acquire, and build prototype L-band user terminals and supporting network topologies. Vendor & Outsource Management: Author technical specification documents and statement of work (SOW) requirements for outside vendors; manage vendor timelines and deliverables when prototyping is executed externally. Testing & Validation: Set up, execute, and document bench-level and over the air test configurations to validate new user terminal hardware and network architectures. System Evaluation: Utilize RF test equipment (spectrum analyzers, signal generators, power meters) to measure signal quality, gain, and frequency response, correlating real-world bench data against theoretical link budgets. Core Hand-off: Package successful proof-of-concepts, test data, and architectural designs to seamlessly transition projects to the core engineering team for formal productization. Requirements: Education: Bachelor's Degree in an engineering or STEM discipline. Experience: Minimum of 3 years of engineering experience in communication systems design, integration, and testing. SATCOM Expertise: Proficiency in satellite systems engineering, including the integration and deployment of mobile satellite systems; knowledge of GEO and LEO orbit satellite communications. Hardware & Testing: Hands-on experience configuring engineering-model modems, executing initial system bring-up, and using standard RF bench equipment. Networking Fundamentals: Familiarity with IP routing basics (IP addressing, subnet masks, gateways, DHCP Client/Server, and VLAN tagging). LINUX Familiarization: Foundational knowledge of Linux/Unix operating systems (CLI tools, file management, and basic shell scripting). Soft Skills: Strong interpersonal communication skills with a proven ability to collaborate across multidisciplinary engineering teams. Communication Skills: Excellent written and verbal communication capabilities to support technical reporting, vendor coordination, and team presentations. Preferred Qualifications: Emerging Tech: Exposure to or familiarization with 5G Non-Terrestrial Networks (NTN) and New Radio (NR) standards, including hybrid satellite-terrestrial conceptual design. Software & Modeling: Experience with modeling software such as MATLAB, STK (Systems Tool Kit), Python for data analysis, or advanced Excel link budgets. Inmarsat Government is an Equal Opportunity Employer

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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 AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI 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 5 (Senior Manager, IC) 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. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ 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 5+ 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) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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 5 (Senior Manager, IC) 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. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ 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 5+ 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) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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 AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI 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).

Job Description Job Description Overview Website Optimization Strategist Classification Exempt Reports to Marketing Manager Consumer Communication JOB DESCRIPTION Summary/Objective The Website Optimization Strategist is responsible for maximizing the performance and effectiveness of Cellular Sales' digital experience across consumer, recruiting, B2B, and local market initiatives. This role goes beyond traditional SEO. You'll own the strategy and optimization of our website experience, helping customers find us, engage with our content, take action, and ultimately connect with our brand. You'll serve as the primary expert for website performance, search visibility, analytics, conversion optimization, and digital experience, partnering with marketing, content, development, and UX teams to drive measurable business results. Essential Functions Own Website Strategy & Optimization Develop and maintain a website optimization roadmap that aligns with business priorities and marketing objectives Identify and prioritize opportunities to improve website performance, engagement, and conversion Monitor website health, mobile experience, accessibility, technical performance, and Core Web Vitals Continuously evaluate and improve high-impact pages, customer journeys, and website experiences Drive SEO & Organic Growth Develop and execute SEO strategies that increase organic traffic and search visibility Conduct keyword research, competitor analysis, and search opportunity assessments Partner with content creators to optimize content for discoverability, engagement, and conversion Work closely with development partners to implement technical SEO improvements and best practices Stay informed on industry trends, algorithm updates, and emerging search technologies Lead Analytics & Performance Measurement Own website analytics, reporting, and measurement frameworks Serve as the primary owner of Google Analytics and Google Tag Manager Build dashboards and performance reporting that deliver meaningful insights to stakeholders Translate website data into actionable recommendations that improve customer experience and business results Improve Conversion & Customer Experience Analyze customer behavior and website journeys to identify friction points and opportunities Recommend and coordinate A/B testing, experimentation, and optimization initiatives Optimize pathways related to lead generation, recruiting, store engagement, and other key business objectives Measure and communicate the impact of optimization efforts Partner Across Teams Collaborate with UX/UI designers to improve usability, navigation, and overall digital experiences Translate marketing and business priorities into website requirements and enhancement requests Partner with development teams to prioritize website improvements and enhancements Ensure marketing campaigns direct customers to effective, optimized digital destinations and landing experiences Work cross-functionally with content, recruiting, customer experience, paid media, and marketing teams to support organizational goals Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Competencies Usage of Technical Expertise: Acquiring and applying technical and functional knowledge in one's own technological area of specialty. Initiative: Spotting opportunities within a circle of influence; anticipating threats and acting on them; self-starting rather than waiting passively until the situation demands action. Accountability: Accepting responsibility that results in anticipation/prevention of problem areas from actions, and problem solving inside and outside the department/organization. Results Orientation: Being persistent and showing perseverance on achieving concrete and tangible results out of personal responsibility; getting optimum results from situations and being ready to take action and show tenacity in case of obstacles or resistance. Problem Solving: Having the ability to identify problems and issues of varying complexities and to find effective solutions with few guidelines. Attention to Detail: Taking responsibility for a thorough and detailed method of working. Supervisory Responsibility This position has no supervisory responsibilities. Work Environment This job operates in a professional office environment. This role routinely involves standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands Must be able to sit for long periods of time. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Travel 0-10% Required Education and Experience 2-year degree 5+ years of experience in website optimization, SEO, digital marketing, web analytics, UX, CRO, or related disciplines Strong understanding of website performance, search optimization, and digital customer experiences Experience translating data and insights into measurable business outcomes Proven ability to manage multiple priorities and collaborate across teams Excellent analytical, communication, and problem-solving skills Preferred Experience 4-year degree Google Analytics (GA4) Google Tag Manager SEO platforms such as Ahrefs, Semrush, or Moz Conversion Rate Optimization (CRO) methodologies A/B testing and experimentation frameworks Content Management Systems (CMS) Website analytics and reporting tools Understanding of website architecture, UX, and customer journey optimization Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. 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 Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. 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 Key Responsibilities Design and maintain conceptual, logical, and physical data models for both transactional (OLTP) and analytical (OLAP) systems. Develop data models aligned to insurance domains including policy lifecycle (quote, issue, servicing), coverages, premiums, billing, and claims. Create and deliver data mapping specifications and transformation logic for large-scale reporting and integration platforms. Define and enforce data modeling standards, naming conventions, and best practices across the organization. Partner with Product Owners, Data Architects, Engineers, and Business stakeholders to translate requirements into robust data solutions. Design canonical and enterprise data models to promote data consistency, reuse, and interoperability across systems. Ensure data quality, integrity, and lineage are maintained throughout the data lifecycle. Guide engineering teams in assembling large, complex datasets that meet functional and non-functional requirements. Optimize data structures for performance, scalability, and maintainability. Contribute to data governance efforts, including metadata management, lineage documentation, and stewardship. Identify opportunities to modernize legacy data models and drive innovation in design approaches. Support Agile delivery by actively participating in sprint planning, design reviews, and backlog refinement. The Expertise Required Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, Information Systems, or a related field. 8 years of experience in data modeling, database design, or data architecture. Strong hands-on experience with: Relational databases (Oracle, PostgreSQL, MySQL) SQL development and performance tuning Data modeling methodologies (Normalization, Kimball, Inmon) Proven experience working with: Policy Administration Systems (OIPA preferred, or Guidewire/Duck Creek) Highly transactional (OLTP) environments Expertise in designing: Dimensional models (Star/Snowflake schemas) Normalized operational models Canonical / enterprise data models Experience with data modeling tools such as Erwin, SAP PowerDesigner, Hackolade, or equivalent. Strong understanding of: Data lifecycle (creation to consumption) Data integration patterns (ETL/ELT) Data warehousing and operational data stores (ODS) Nice-to-Have Qualifications Experience with Insurance Domain Modeling. Experience with cloud-native data platforms such as Snowflake, Azure Synapse, or AWS Redshift. Exposure data lakes and lakehouse architectures. Familiarity with data governance frameworks, data lineage, and metadata tools. Experience supporting Data Science / ML teams, including feature engineering concepts. Knowledge of insurance regulatory and reporting requirements. Experience working with large-scale enterprise data ecosystems. The Necessary Skills Excellent communication skills including written, verbal, and technology illustrations. The desire and aptitude for learning new technologies to solve problems and formulate recommendations. A proven track record of working in reciprocal teams to deliver high quality data solutions in an agile environment. A fearless approach to challenge the legacy design and seek opportunities to design better models and better code. A passion for data analysis with the ability to navigate and master complex transactional and warehouse databases. A love working with data and are confident in your SQL skills. Technically adept in learning new technologies and architectural methodologies and adapting our practices to support frequent changes in the technical environment. A strong interest in playing a technical data steward role and across our business and technology partners to understand and detail our data, appropriate data usages and helping BU derive the maximum value from its data. The ability to take a broad view of data from creation to consumption and understand how data design patterns affect data quality and the ability of users to easily consume data. Experience with cloud native data warehousing and data lake solutions using Snowflake is a plus. Exposure to working with a Data Scientist team and knowledge of Feature Engineering is a plus. Experience of database design through the full development lifecycle is a plus: from requirements to conceptual, logical and physical data model design and implementation. The Value Delivered Key participant in helping to build a Data Driven Culture. Designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logic Completing research to identify effective data designs, new tools and methodologies for data analysis. Collaborating with DBAs, architects, and subject area owners to create scalable data models. Gathering and incorporating feedback from Product Owners, Data Architects, and Data Engineers to aid in the design of the product. Guiding engineers in the best approach to assembling large, complex data sets that meet functional / non-functional business requirements. Being candid and honest in all discussions to ensure the best outcomes. Driving innovation and experimentation within the data organization.

Job Description Job Description Description: Please share submission details to RM notes: Vision & Technology project. An ideal candidate should be experienced with machine learning and vision systems using PLC. 5 years of experience in Machine Vision & Edge AI development. Proficiency in Python and C Who we re looking for s Manufacturing Project Innovation Center (Manufacturing Innovation) Advanced Technology Department is looking for a passionate and highly motivated Advanced Technology Engineer The primary responsibility of this role is: Model Development & Training Speed Design and implement computer vision models for defect detection, segmentation, and classification. Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. Edge Optimization Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Client accelerators) to meet strict real-time latency requirements for moving-line inspection. Ensure consistent performance under varying lighting, optics, and surface conditions. Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. Align deployments with s ICS , GALC, and TVIP architecture standards for plant-level connectivity and reliability. Data Strategy & Quality Control Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group s objective to improve manufacturing competitiveness. What you ll be doing Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines. Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware Development of new technologies for PE and Manufacturing competitiveness improvement Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones. Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful. Close collaboration between both internal and external groups across including North American Manufacturing Centers ( NAMCs), Motor Corp (TMC), Technical Center (TTC) , PE support shops, IT ( One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments. What you bring Ability to travel to all North American Manufacturing Centers (NAMC s) including Canada and Mexico; and to Motor Corp (TMC) Japan Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N text follow up) Bachelor s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. 5 years of experience in industrial machine vision and edge AI deployment. Proficiency in Python and C with strong knowledge of ML frameworks (PyTorch, TensorFlow). Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models. Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture Experience balancing inspection accuracy with false positives vs flow-out risk in quality Requirements: Desired / Preferred Master s Degree in Engineering or Advanced Degree in related fields Academic research experience in new technology Project management work involving internal and external parties 6 months or greater Experience deploying equipment including establishing RJ, PFMEA, and quality control plan Experience deploying automotive production equipment Experience in Robotics to include operation, teaching, maintenance, and safety Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. Experience with high-speed inline inspection systems and vision-based process control. Knowledge of IIoT data pipelines and messaging standards. Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. Key Competencies Ability to deliver production-ready AI solutions under strict timelines. Strong problem-solving and cross-functional collaboration skills. Commitment to quality, reliability, and continuous improvement in manufacturing environments

Job Description Job Description Computer Network Architect Aberdeen Proving Ground (APG), MD Salary: $80,000 We are seeking a Computer Network Architect to provide Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, and other data communications networks. Perform network modeling, analysis, and planning, including analysis of capacity needs for network infrastructures. May also design network and computer security measures. May research and recommend network and data communications hardware and software. Location Aberdeen Proving Ground (APG), MD Roles and Responsibilities: - Develop, implement, and maintain secure network designs and architectures. - Stay up to date with the latest networking technologies and features. - Lead monthly technical status meetings, providing updates and recommendations on network performance, reliability, and security. - Evaluate emerging network technologies and tools to enhance network performance, reliability, and security. - Plan, design, and execute technical refreshes and upgrades once approved by management. - Assist with ongoing maintenance and troubleshooting of network infrastructure. - Ensure all network architecture aligns with organizational security standards and compliance requirements. Qualifications Minimum Requirements: - Bachelor's Degree (B.S) in related field, in the absence of a bachelor's degree, 14 years of related experience. - Minimum 10 Years of relevant experience. - Minimum 5 years in the Department of Defense contracting market of major weapon systems product development and acquisitions Required Clearance: - Secret US CITIZENSHIP REQUIREMENT: This assignment is a US Government Contract which requires all applicants to be US Citizens. NO SUBCONTRACT REQUIREMENT: No third-party applicants will be considered. If you are a third party contracting company, please do not respond to this position.

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Principal Data Scientist for a direct hire opportunity with one of our premier clients in Oshkosh, WI or New Hudson, MI. The Data Science Lead serves as a hands-on technical leader who bridges business strategy, advanced analytics, and AI-driven innovation to deliver high-impact solutions across the organization. This individual contributor role requires 5 years of experience leading end-to-end data science initiatives, partnering directly with business stakeholders, and translating complex business challenges into scalable machine learning, predictive analytics, and Generative AI solutions. The ideal candidate combines strong technical expertise in Python, SQL, cloud platforms, and modern AI/LLM technologies with the ability to independently architect, deploy, and support production-ready solutions. Data Science Lead collaborates closely with executive leadership, operations, product teams, and IT partners to define AI roadmaps, drive adoption, establish technical standards, and deliver measurable business value through data-driven decision making. Core requirements 5 years of experience; 6 years may be appropriate , according to the manager. The same core profile as R50808: AI-savvy and business-savvy, with strong business relationships and experience working directly with business stakeholders not solely back-end development. Ability to manage work end to end and personally deploy and deliver the solution. Shared considerations Both roles are individual-contributor positions , not manager roles. The manager is open to candidates who began in a business function or as a business analyst and later moved into IT, analytics, or data science, as well as candidates from consulting. The roles are described as hybrid: 3 days onsite and 2 remote , based in Oshkosh, Wisconsin, or New Hudson, Michigan . Relocation is acceptable if the candidate is willing to relocate; the manager said these are not commuting positions. Mentoring and executive-level communication are more central to the Principal role than to the Lead role. SUMMARY The Data Science Lead serves at the vital intersection of enterprise business strategy, machine learning innovation, and technical delivery. In this role, you will lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and artificial intelligence solutions across key business units. Technical Leadership & Solution Architecture End-to-End Delivery: Architect, build, and deploy production-grade machine learning models, statistical frameworks, and Generative AI/LLM applications (e.g., RAG architectures, intelligent agents, and fine-tuned models). Engineering Standards: Establish best-in-class coding, testing, evaluation, and documentation standards across the team. Conduct regular code and architecture reviews. Production MLOps: Partner closely with Data Engineering and DevOps teams to establish robust CI/CD pipelines, automated model monitoring, feature stores, data drift detection, and automated retraining workflows. Research & Innovation: Stay abreast of state-of-the-art developments in AI/ML, evaluating emerging methodologies, tools, and frameworks to accelerate organizational capabilities. Strategy, Road mapping & Stakeholder Management Business Translation: Collaborate closely with executive leadership, product managers, operations, and commercial leaders to translate complex business challenges into actionable data science initiatives. Strategic Roadmap: Define and prioritize the enterprise AI and analytics roadmap, aligning project timelines, milestones, and deliverables with core business objectives. Value Realization & Communication: Articulate complex algorithmic methodologies and quantitative findings in clear, non-technical language to executive stakeholders, driving adoption and demonstrable business impact. Governance & Ethical AI: Champion data integrity, security, model explainability, algorithmic fairness, and compliance with organizational policies and international AI safety standards. People Leadership & Team Development Mentorship & Coaching: Lead, coach, and support junior and mid-level data scientists, nurturing individual career trajectories, continuous learning, and technical mastery. Agile Project Execution: Foster an agile, delivery-focused sprint cadence, balancing exploratory research with strict milestone deadlines and business commitments. Culture & Community: Cultivate an inclusive, collaborative culture that celebrates technical curiosity, innovation, and knowledge-sharing across cross-functional units. Education & Professional Experience Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline (or equivalent practical experience). Minimum of 6 years of professional experience in data science, predictive modeling, or machine learning engineering. Technical Expertise Expert proficiency in Python (including NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL. Strong hands-on experience building supervised/unsupervised learning pipelines, deep learning models, natural language processing (NLP), and modern Large Language Model (LLM) architectures. Proven track record utilizing enterprise cloud ecosystems (AWS, Azure, or GCP) and distributed compute systems (Databricks, Snowflake, Apache Spark). Demonstrated familiarity with model tracking, containerization, and orchestration platforms (e.g., MLflow, Docker, Kubernetes, Kubeflow, Airflow). Proficiency in presenting findings via business intelligence and visualization tools (e.g., Power BI, Streamlit). Soft Skills & Core Competencies Strategic Thinking: Ability to see the bigger picture, connecting data capabilities to long-term business strategy. Outstanding verbal and written communication skills with the capability to influence senior leadership. Pragmatism & Value Orientation: Focus on business utility, avoiding over-engineering in favor of reliable, interpretable, and maintainable solutions. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Network Architect Location: Columbia, SC (On-site) Employment Type: Contract About the Role Our client's Division of Information Technology has an immediate need for highly specialized enterprise network engineering expertise to support critical infrastructure initiatives and ensure operational continuity across the organization's enterprise technology environment. The current workload, combined with strategic modernization efforts and increasing demands on enterprise networking, requires an experienced senior engineer capable of independently leading complex infrastructure design, implementation, automation, and operational support initiatives. This position will provide advanced engineering expertise necessary to complete critical enterprise networking projects, improve infrastructure resiliency, modernize aging systems, and establish technical standards that support the Client's long-term strategic objectives. The engagement will also provide technical leadership and knowledge transfer to strengthen ongoing operational support capabilities. This is an on-site position at the Client's downtown Columbia, SC campus. Occasional remote work is permissible, but the majority of work will take place on site. The Network Architect will serve as the Division's senior technical resource for enterprise network architecture, engineering, modernization, and operational excellence. Working collaboratively with Enterprise Architecture, Network Operations, Information Security, Cloud Services, Facilities Planning, project teams, vendors, and campus stakeholders, the incumbent will design, implement, and optimize the Client's enterprise networking environment. Scope of the Project Define and advance the long-term technical vision and architecture for the Client's Enterprise Data Network (EDN), translating institutional requirements into scalable, secure, resilient network solutions. Provide architecture and engineering leadership for enterprise LAN, WAN, wireless, data center, cloud, hybrid networking, and network security technologies. Lead complex network infrastructure projects and modernization initiatives that improve reliability, resiliency, scalability, security, and operational efficiency. Develop enterprise network architecture standards, engineering standards, reference architectures, technical roadmaps, lifecycle recommendations, and supporting documentation. Design highly available network infrastructure and connectivity across campus, data center, cloud, and external service environments. Advance network automation, orchestration, Infrastructure as Code, and deployment practices that improve consistency, efficiency, and reliability. Develop and improve enterprise monitoring, observability, alerting, analytics, capacity planning, and operational metrics supporting proactive infrastructure management. Provide senior technical leadership for complex infrastructure issues, priority incidents, architecture decisions, and advanced engineering challenges. Coordinate network architecture and engineering initiatives with Network Operations, Information Security, Cloud Services, Physical Network Infrastructure, Facilities Planning, project teams, vendors, contractors, and campus stakeholders. Evaluate emerging technologies, support technical procurement and vendor evaluations, and provide knowledge transfer and documentation supporting long-term operational sustainability. Daily Duties / Responsibilities Provide technical and project leadership for enterprise network architecture, advanced engineering, modernization, and infrastructure implementation initiatives, including hands-on engineering when required. Design and engineer scalable, resilient, and secure LAN, WAN, wireless, data center, cloud, VPN, firewall, and Network Access Control solutions. Develop and maintain enterprise network architectures, engineering standards, technical roadmaps, network diagrams, and other technical documentation; review and validate network designs and engineering solutions developed by other technical staff. Analyze institutional, business, and technical requirements and translate them into enterprise network designs and implementation strategies. Lead network modernization, lifecycle planning, capacity planning, and remediation of aging or at-risk infrastructure. Develop and implement monitoring, observability, automation, orchestration, and operational metrics to proactively assess and improve enterprise network health, capacity, performance, and operational efficiency. Serve as a senior technical resource and Tier III escalation point for complex network incidents and engineering issues, performing advanced troubleshooting and providing architecture-level guidance and resolution when required. Coordinate architecture and engineering activities with Network Operations, Information Security, Physical Network Infrastructure, Facilities Planning, project teams, contractors, consultants, vendors, and other stakeholders. Evaluate emerging technologies and solutions and provide technical recommendations supporting procurement, investment, and long-term infrastructure planning. Provide technical mentoring, knowledge transfer, and engineering guidance to Network Operations and other technical personnel; participate in maintenance windows and after-hours support when required. Perform other duties as assigned. Required Skills 4+ years of experience with enterprise network architecture and engineering within complex, mission-critical environments. 4+ years of experience with LAN/WAN technologies, including Juniper enterprise routing and switching, TCP/IP, enterprise routing protocols, DNS, DHCP, and IPAM. 4+ years of experience leading complex network architecture and engineering initiatives from requirements and design through implementation, troubleshooting, and operational transition. 4+ years of experience with enterprise infrastructure modernization, lifecycle planning, capacity planning, resiliency, and high-availability design. 4+ years of experience with network security architecture and technologies, including Fortinet firewalls and VPN/SASE technologies, Network Access Control (NAC), segmentation, and security policy implementation. 4+ years of experience with cloud and hybrid networking, including AWS or Microsoft Azure. 4+ years of experience with network automation, orchestration, scripting, and Infrastructure as Code concepts and technologies. 4+ years of experience with enterprise network monitoring, observability, analytics, metrics, and performance management. Preferred Skills Experience developing enterprise network strategy, architecture standards, reference architectures, and long-term technology roadmaps. Experience supporting network architecture and engineering in a complex higher education environment, including academic, research, administrative, and other diverse institutional technology requirements. Experience with Aruba and Cisco enterprise switching and wireless technologies, including software-defined and centrally managed network architectures. Experience implementing enterprise observability, telemetry, automation, and proactive or self-healing infrastructure capabilities. Experience with virtualization, cloud networking, and hybrid cloud infrastructure. Experience coordinating infrastructure projects with facilities organizations, architects, contractors, consultants, and external engineering firms. Experience supporting enterprise cybersecurity, zero-trust, segmentation, and secure network architecture initiatives. Required Education / Certifications Bachelor's degree in Computer Science, Information Technology, Network Engineering, Computer Engineering, or a closely related discipline, or equivalent work experience. Preferred Education / Certifications Juniper Networks Certified Professional - Enterprise Routing and Switching (JNCIP-ENT) or higher. Fortinet Certified Professional (FCP) or higher certification relevant to network security, firewalls, or secure networking. Cisco Certified Network Professional (CCNP Enterprise) or Cisco Certified Internetwork Expert (CCIE). Aruba networking certification relevant to enterprise switching, wireless, or network architecture. AWS or Microsoft Azure certification relevant to advanced networking or cloud network architecture. ITIL Foundation or higher. CompTIA Security+ Additional Skills Technical documentation, standards development, and architecture diagrams. Project management and enterprise implementation experience. Technical mentoring and knowledge transfer. Excellent written, verbal, analytical, and customer service skills. Advanced troubleshooting and technical leadership during complex or mission-critical network incidents. Strong technical communication, documentation, stakeholder coordination, vendor management, and knowledge-transfer skills. Demonstrated project leadership experience coordinating complex technical initiatives across multiple teams, stakeholders, vendors, and organizational units.