155 jobs found

Job Description About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies-we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. . We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Senior Engagement Manager Employment type: Full Time Experience: 8+ years Location : Remote (USA) Description: We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management, leadership and cross-group collaboration skills. What You Will Do: As an Senior Engagement Manager, you'll lead the delivery management of multi-functional medium/large scale AWS programs, covering project planning, delivery assurance and verification, tracking and reporting, and risk/mitigation planning. Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes, constantly identify and develop new business opportunities. Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products, applications, and services. Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency, to drive satisfaction, outcomes, and deliver positive customer partner experience. Coordinate, measure, monitor and communicate on program(s) health. Actively contribute to org-wide strategies, in defining and implementing those along with contributing to team's roadmap and portfolio of services in alignment to the wider organization. Maintain a relentless focus across the team on continuous improvement, planning and implementing changes to process, service and technology to transform how the team operates. Build a collaborative environment - coach/mentor team members. Recruit, motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract. Basic Qualifications: Minimum 8 yrs of experience in delivering digital transformation projects to global clients. Experience in program management, client service, and/or management consulting. Knowledge of leading teams on projects using agile methodology and frameworks like scrum, kanban or XP, etc. Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises. Aptitude in business analysis and leveraging quantitative analysis techniques for decision making. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Knowledge and willingness to learn and apply emerging trends in business research, data science, artificial intelligence, machine learning, and cloud computing - AWS exposure is a value addition. Team management experience is a must. What is in it for you: Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Job Description About Midea America Corp Midea America Corp., is one of the world's largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion, and partnership with our teams. Midea America is a subsidiary of the Midea Group, a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are ranked as a Fortune Global 500 company and offer one of the most comprehensive product portfolios in the industry. Job Summary The Senior Innovation Engineer is a key member of the Front-End Innovation and Product Development organization, responsible for identifying unmet consumer needs, incubating innovative technologies, and leading the development of next-generation microwave cooking solutions for the North American market. This role combines disruptive innovation, advanced engineering research, and product development activities to drive product differentiation across Over-the-Range Microwave Ovens (OTRs), Countertop Microwave Ovens (CMOs), combination ovens and emerging cooking platforms. The position focuses on translating consumer insights, market trends, competitive benchmarking, and emerging technologies into commercially viable products, features, and intellectual property that strengthen Midea's market leadership. The successful candidate will lead innovation initiatives from concept ideation, technology evaluation, and prototype development through commercialization, while serving as a technical expert in microwave cooking systems, ventilation systems, connectivity, and user experience. Essential Job Responsibilities Develop breakthrough product concepts, user experiences, and technology roadmaps that support future product platforms and strategic business growth. Conduct consumer research, competitive benchmarking, technology scouting, and trend analysis to identify opportunities for product differentiation and innovation. Lead the design, validation, and optimization of OTR ventilation systems, including blower configurations, airflow management, grease filtration, noise reduction, air recirculation, and outside venting solutions. Conduct airflow, acoustic, thermal, smoke-capture, and cooking-effluent performance evaluations to improve ventilation effectiveness and user experience. Design and develop microwave subsystems, including cavity systems, inverter technologies, high-voltage systems, controls, electronics, ventilation systems, and user interfaces. Lead the creation, evaluation, documentation, and protection of innovative technologies, product concepts, and intellectual property; develop invention disclosures, support patent filings, and build a robust patent portfolio that strengthens the company's competitive position. Partner with external technology providers, startups, universities, and suppliers to evaluate emerging technology opportunities and strategic collaborations. Mentor junior engineers and provide technical leadership across cross-functional project teams to accelerate innovation and product development effectiveness. Support domestic and international travel to collaborate with overseas R&D centers, suppliers, manufacturing facilities, attend trade shows, and consumer research activities. Qualifications Bachelor's degree in Engineering, Business, Product Management, Product Development, Data Analytics, Marketing, or a related discipline; Master's degree preferred. 7+ years of experience in product planning, product management, product development, engineering, innovation management, or portfolio management preferably within the cooking appliance industry. Proven experience developing product roadmaps, portfolio strategies, business cases, product requirements, and commercialization plans, translating consumer insights and market opportunities into successful products. Experience leveraging data analytics, business intelligence, AI-enabled insights, market research, consumer analytics, Voice of Customer Data, and competitive intelligence to support innovation and strategic decision-making. Proficiency with business intelligence, data visualization, and analytical tools such as Power BI, Tableau, SQL, Python, and AI-assisted analytics; experience with machine learning, predictive modeling and forecasting. Familiarity with North American appliance regulations, codes, and certification standards, including UL, CSA, ANSI, DOE, ENERGY STAR , and other applicable safety, performance, energy efficiency, and compliance requirements, is preferred. Strong project management, problem-solving, decision-making, communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical and business concepts to diverse audiences. Ability to influence and collaborate effectively across engineering, marketing, sales, sourcing, manufacturing, quality, and executive leadership teams. Experience working with global product development teams, international suppliers, and manufacturing organizations in a multicultural environment. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties, responsibilities, and activities may change at any time with or without notice. EEO Statement We are an equal opportunity employer and value diversity. All employment is decided based on qualifications, merit, and business need.

Job Description Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps. Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search. Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies. Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms. Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures. Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources. Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management. Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance. Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs. Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production. Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes. Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: Phone: +1 / Ext 112

Job Description ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders; a strong Customer Focus; Respect for People; a commitment to Excellence; a pursuit of Innovation; and a strong Nation Orientation. ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%. Principal Enterprise Solutions Architect (Data & Enterprise Platform) Location: Seattle WA Role Overview We are seeking a Principal Enterprise Solutions Architect who will serve as the trusted technology leader and strategic advisor for Data and Enterprise Platforms, driving architecture, engineering excellence, platform transformation, and technology governance while aligning technology roadmaps with business goals and value realization. You will not only shape and share the technical vision but will also remain deeply ingrained in the system-driving hands-on architecture design, enforcing engineering discipline, and ensuring seamless delivery. You will bridge the gap between business strategy and highly scalable technical execution, transforming legacy batch data processes into modern event-driven systems and infusing AI into the Software Development Life Cycle (SDLC) to optimize velocity and quality. Experience & Qualifications: Key Responsibilities: Data & Architecture: Lead data engineering, integration, governance, modernization, and enterprise data architecture. Enterprise Platforms: Provide architectural leadership across Anaplan, VibeIQ, Precisely MDM/PIM, and downstream integrations. Engineering Excellence: Drive platform reliability, data quality, scalability, integration standards, and architectural simplification. Technology Advisory: Challenge existing architecture, shape transformation roadmaps, and influence senior client stakeholders. Functional Expertise (Good to have): Strong understanding of Merchandise Financial Planning (MFP), Visual Assortment Planning, product and merchandise hierarchies, and associated data flows. Deliver measurable business outcomes through technology modernization, increased organizational agility, cost optimization, and enhanced support for merchandising and planning capabilities. Pre-requisites: 18+ years of experience in Data Engineering, Enterprise Architecture, Retail Technology, and large-scale digital transformation initiatives. Strong understanding of modern data platforms, cloud technologies, analytics architectures, and enterprise integration frameworks. Proven experience leading the architecture and implementation of enterprise retail platforms such as merchandising, planning, replenishment, product information management, and order management systems. Ability to design and execute enterprise-wide technology roadmaps that align with strategic business objectives and deliver measurable business value. Strong executive communication skills with the ability to present complex technology concepts to both technical and non-technical audiences. Strong understanding of AI, advanced analytics, machine learning, and data-driven decision-making capabilities within the retail ecosystem. Demonstrated leadership in driving organizational change, stakeholder alignment, and adoption of new technologies and business processes. Passion for innovation and continuous improvement, with a focus on enhancing customer experience, operational efficiency, and business growth. Deep functional and technical expertise across Retail Merchandising, Assortment Planning, Demand Forecasting, Inventory Management, Allocation, and Pricing solutions. Education Qualification: Bachelor's or master's degree in computer science , Engineering, Information Systems, Business Administration (MBA), or a related field is strongly preferred. Salary Range: The base salary range for this position is $176,156 - $205,775 annually. Actual compensation will depend on factors including skills, experience, location, and business needs. In addition to base salary, this position would have comprehensive benefits & 401K with employer match. ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.

Job Description Lead Machine Learning Engineer - Medical Imaging Holobeam Technologies Bethpage, Long Island, NY Holobeam Technologies is developing advanced medical imaging technologies at the intersection of machine learning, computer vision, image processing, and 3D medical imaging. We are looking for a Lead Machine Learning Engineer - Medical Imaging to lead a small ML research team developing novel imaging technologies. This is a hands-on technical leadership role. We need someone who can set research direction, design experiments, develop and train models, mentor engineers, investigate failures, and help move successful research toward clinical and regulatory-ready products. What You'll Do Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation. Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging. Work with medical imaging datasets including X-ray, CT, DICOM, annotations, masks, and volumetric data. Translate promising research papers into working implementations and controlled experiments. Design validation methods that distinguish clinically supported information from visually plausible model output. Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes. Build reproducible preprocessing, training, inference, and evaluation pipelines. Help move successful research toward production, clinical validation, and regulatory submission. What We're Looking For 6+ years of applied ML/computer-vision experience. Advanced Python and PyTorch skills. Strong hands-on experience developing and training deep-learning models. Experience with medical imaging or closely related scientific imaging. Experience with CT, X-ray, CBCT, MRI, PET/SPECT, ultrasound, or other volumetric imaging. Strong understanding of 2D/3D computer vision, experimental design, dataset partitioning, validation, and error analysis. Demonstrated ability to take an open-ended research problem from literature hypothesis implementation experimentation failure analysis improvement. Experience leading or mentoring ML engineers/researchers. Particularly Valuable Experience with several of the following would be especially relevant: CT reconstruction or inverse problems Diffusion models and other generative AI Medical-image registration DICOM pipelines CUDA/multi-GPU training Multi-site/scanner validation Published medical-imaging research or patents Production medical software FDA 510(k), SaMD, design controls, IEC 62304, or medical-device V&V The Person We're Looking For We are not looking for a manager who has stopped being technical. The right person should be equally comfortable saying: "Here is the research direction our team should pursue." and: "Here is why this model failed and the experiment we should run next." Medical imaging also requires more than producing visually impressive results. We want someone who thinks carefully about what information is actually supported by the input data, what is being inferred by the model, how uncertainty should be handled, and how anatomical and clinical fidelity can be validated. A PhD in computer science, electrical engineering, biomedical engineering, medical physics, imaging science, applied mathematics, or a related field is highly desirable, but demonstrated research accomplishments and technical depth matter more than the credential itself. Salary Range : $165K - $210K Location: Bethpage, Long Island, New York We offer competitive salaries commensurate with experience, plus extremely generous health care plan, as well as 401K and stock options. Hybird partial onsite may be possible for exceptional candidates Email: with any questions.

Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. The E-Space Manufacturing team builds the world's most advanced aerospace products at high rate and high precision. As a Senior Mechanical Systems Designer, you'll design the mechanical systems that make E-Space's automated production lines run - fixtures, frames, motion assemblies, and the hardware that ties automation together. You'll work hands-on in SolidWorks alongside a Staff designer and the broader manufacturing team, owning subsystems end-to-end and bringing them from concept to qualified production hardware. This position reports to the Manufacturing Engineering leadership team. What you'll be doing: Design mechanical systems and subsystems for automated manufacturing equipment in SolidWorks - parts, assemblies, and production drawings. Develop fixtures, frames, motion stages, and machine structures to meet performance, precision, and cost targets. Apply GD&T and tolerance analysis to ensure manufacturability and reliable assembly. Collaborate with controls, robotics, and process engineers to integrate automation hardware. Create build documentation and support fabrication, assembly, and testing of your designs. Iterate from 3D-printed and machined prototypes to production-ready hardware. Specify mechanical components and interface with vendors. What you will bring to this role: 5+ years of hands-on mechanical design experience in machinery, automation, or aerospace hardware. Strong SolidWorks skills - assemblies, detailed parts, and drawings. Solid grasp of GD&T, tolerance stack-ups, and design for manufacturability. Experience taking designs through fabrication, assembly, and test. Ability to work across disciplines in a fast-paced manufacturing environment. BS in Mechanical Engineering or equivalent experience. Extra points for the following: Exposure to end-effector / EOAT design. Experience with ABB or Fanuc robotic integration. Background in aerospace, semiconductor, or thin-film manufacturing. This is a full time, exempt position, based out of our Arlington, TX facility. We are redefining how satellites are designed, manufactured and used - so we're looking for candidates with passion, deep knowledge and direct experience. If that's your experience, then we'll be immediately wow-ed. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: An opportunity to really make a difference Sustainability at our core Fair and honest workplace Innovative thinking is encouraged Competitive salaries Continuous learning and development Health and wellness care options Financial solutions for the future Optional legal services (US only) Paid holidays Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Sr. ML Platform Engineer Job at a Glance Title: Sr. ML Platform Engineer Location: Orlando, FL (4 days onsite) Contract: 12 months initial with potential for extension of up to 22 months or conversion to full time with the client Pay: $75.00-$80.00/hour + optional medical, dental, vision, 401(k) match Overview Our Client is seeking a senior-level software engineer with deep hands-on experience across Kubernetes infrastructure, containerized application development, cloud platforms, and production machine learning systems. This role supports a high-scale platform focused on real-time data processing, computer vision, MLOps, and cloud-native deployment architectures. The ideal candidate is equally comfortable building containerized applications and operating Kubernetes infrastructure in production environments. Key Responsibilities Design and implement scalable machine learning training, evaluation, deployment, and monitoring pipelines. Build and support containerized applications deployed within Kubernetes environments. Deploy and optimize computer vision and machine learning models for production workloads. Develop Python services, APIs, and data pipelines supporting real-time systems. Collaborate with cross-functional teams to integrate ML models into production platforms. Troubleshoot and optimize cloud infrastructure, Kubernetes workloads, and production pipelines. Build reusable tools for model monitoring, evaluation, and operational excellence. Required Skills 8-10+ years of overall software or infrastructure engineering experience. Hands-on Docker and container development experience, including writing Dockerfiles and building images. Deep Kubernetes experience including Deployments, Services, Ingress, PV/PVC, Helm, and production troubleshooting. Strong Python development experience. Production cloud infrastructure experience, preferably AWS and EKS. Experience supporting or deploying machine learning workloads in production environments. Experience building real-time or event-driven systems. Expertise with Linux/Ubuntu environments. Experience with technologies such as Kafka, Kinesis, Redis, or similar messaging platforms. Ability to clearly articulate personal ownership of systems and solutions built. Preferred Skills Rancher experience. AWS services including SageMaker, S3, and DynamoDB. Computer vision experience with YOLO, OWL, SAM, VLM, or VLA models. Experience optimizing large-scale model performance. Java experience. High-visibility production systems experience. Security-conscious platform engineering experience. Why Should I Apply? Join a highly visible engineering team building cloud-native machine learning and computer vision platforms at scale. This role offers the opportunity to solve challenging infrastructure, Kubernetes, and MLOps problems while contributing to real-world systems that support millions of users and large-scale production workloads. About CEI As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

Job Description Job Description SarelaTech is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure. Primary Responsibilities Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines. ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules. Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness. Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health. Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices. Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts. Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO). Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability. Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems. Required Qualifications: Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. Citizenship: United States Citizenship is required. Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL). AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation. Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK. Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python). Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. Desired Qualifications: Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter. Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin. Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS). RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.

Job Description Job Description Senior Artificial Engineer Always Forward Recruiting is currently seeking a Senior AI Engineer (direct-hire). This opportunity is centered on applying Computer Vision, Deep Learning technologies and Machine Learning to support commercial and government markets. You'll be hands on in the development and implementation of algorithms in the name of CV, DL, and ML that support signal and image processing including large scale data analytics. Requirements Bachelor's Degree (Electrical Engineering, SW Engineering, Computer Science, or Mathematics) Strong programming skills with C/C++, Python, and/or other equivalent languages. Solid knowledge of AI, ML, CV, and/or DL Strong baseline knowledge of AI algorithms, Programming, and Software Design. 8+ years progressive professional experience Desired Skills (but we have vision!) 3+ years of roll up your sleeves, hands on experience building ML/AI/CV solutions and/or research. Good grasp of Edge Computing and Internet of Things (IoT) Experience or Knowledge of AI framework(s) IE: OpenCV, Tensor Flow, Keras, Scikit, Pytorch, Caffe/Caffe2, etc. Responsibilities With deep knowledge of Family of Systems (FOS), will directly and indirectly co-own end to end architecture, how the system is put together, tools, frameworks and processes. Practice agile development focused around methodologies IE: continuous integration. Enhance the capability and capacity of the engineering team. Culture Ability to be a team-player all while (strongly) maintaining independent thinking. Aptitude for innovation and problem solving. A passion for all things AI, ML, and DL (Remote option for the right candidate) Company Description Always Forward Recruiting is absolutely a Headhunting Firm but with heart and principle. We do things old school by leveraging the dense and long lasting relationships we've cultivated to secure quality career advancement, passion pivot, or just overall kick ass opportunities! Be clear, we don't do this for The Man, we're Recruiters of the People with an unwavering candidate first approach. (unless you do something shady) Company Description Always Forward Recruiting is absolutely a Headhunting Firm but with heart and principle. We do things old school by leveraging the dense and long lasting relationships we've cultivated to secure quality career advancement, passion pivot, or just overall kick ass opportunities! Be clear, we don't do this for The Man, we're Recruiters of the People with an unwavering candidate first approach. (unless you do something shady)

This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description This Data Platform Engineer will have the unique opportunity to apply cutting-edge data and analytics technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives. As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead's drug development and clinical research programs. Through the development of robust data pipelines and advanced analytics platforms, the successful candidate will enable more proactive quality oversight, smarter decision-making, and continuous improvement, ultimately supporting Gilead's mission to deliver life-changing therapies to patients worldwide. The Data Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data and analytics capabilities across R&D Quality. This role will build and maintain the data infrastructure that supports Quality Performance and Quality Health analytics focused on signal detection, risk analytics, early identification of emerging issues, mitigation strategies, and continuous improvement. Working closely with analytics professionals, the engineer will transform analytical prototypes into scalable, production-ready solutions through robust data pipelines, cloud infrastructure, monitoring, and automation. The role will collaborate directly with Quality teams, IT, and global delivery teams to support key Quality System elements and programs, including Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach, and Quality Analytics, while helping define the technology roadmap for next-generation analytics and automation across the organization. Primary Responsibilities Data Engineering Technical Ownership: Operate as a self-directed contributor who scopes, plans, and drives initiatives end-to-end - translating ambiguous Quality problems into technical solutions, making sound architectural trade-offs, and delivering production outcomes with minimal oversight. Infrastructure & Environment Automation: Independently provision and manage cloud infrastructure using infrastructure-as-code and containerization, standing up reproducible, scalable environments for data processing, application deployment, and analytics with minimal reliance on external teams. Application Lifecycle Management: Develop and maintain pipelines to transition analytics applications and data products from development to production, including packaging, CI/CD, automated testing, and deployment. Support reliable delivery of Quality use cases such as signal detection, risk analytics, and Quality Performance/Quality Health analytics. Data Pipeline Development: Design robust batch and streaming data workflows; integrate, define, and manage data sets, lineage, and reuse across QMS data sources (e.g., Audit, Deviation, CAPA, Risk Management). Data Orchestration: Author and schedule reliable, observable workflows using orchestration tools and distributed processing, ensuring dependencies, retries, and SLAs are handled without manual intervention. Production Operations & Monitoring: Ensure the reliability and scalability of data pipelines and analytics applications; implement effective logging, tracing, and alerting. Establish monitoring for data quality, pipeline performance, and service health, paying particular attention to QMS data feeds, where low-frequency quality signals amplify the impact of anomalies. Collaboration & Enablement Cross-functional Partnership: Work closely with analytics professionals, Quality analysts, and stakeholders across R&D Quality programs (e.g., Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach). Provide frameworks, templates, and guardrails that accelerate analytics delivery. Testing & Validation: Demonstrate a strong focus on testing by setting up frameworks for data pipelines, analytics applications, and production code. Design validation pipelines with automated quality gates, including type checking, linting, integration tests, and contract tests. Documentation & Release Management: Develop clear, detailed guides, operational playbooks, and user instructions. Coordinate releases with IT and the global team; maintain runbooks, rollback strategies, and change tickets. Security & Compliance: Apply security, access-control, and data-governance best practices across pipelines and infrastructure, ensuring solutions meet the expectations of a validated, GxP-regulated environment. Innovation & Technical Strategy Technology Evaluation & Roadmap Input: Evaluate emerging data, cloud, and analytics tooling; prototype promising approaches and recommend adoption, contributing to the technical roadmap for next-generation Quality analytics and automation. Tech Stack Basic Programming & scripting: Python and SQL; scripting with Python, Bash, or PowerShell. Source control: Git and source control management. CI/CD & release management: Working knowledge of CI/CD tools and release management (e.g., GitHub Actions). Cloud platforms: Hands-on experience with a major cloud provider (AWS or Azure). Containers: Container technologies (Docker; Kubernetes). Data platform: Databricks. Preferred Cloud infrastructure / infrastructure-as-code: Terraform; broader cloud engineering experience (AWS preferred). Monitoring & logging: Datadog, Splunk, CloudWatch, or Prometheus. Infrastructure concepts: Understanding of networking, security, and infrastructure fundamentals. Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD / PharmD Preferred Qualifications: Degree in computer science, computer engineering, information systems, or a related discipline with relevant experience in data engineering, platform engineering, or data operations Significant hands-on experience operationalizing data and analytics solutions end-to-end, including data engineering, pipeline development, deployment, and production monitoring. Strong programming skills in key languages such as Python, SQL, Go, and TypeScript, with proven ability to manipulate large and complex datasets using distributed computing technologies. Familiarity with AWS cloud services. Strong troubleshooting and problem-solving skills. Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences and a strong orientation toward teamwork in a fast-paced, regulated environment. Experience building, packaging, and maintaining data processing libraries and analytics applications in production. Experience with CI/CD, infrastructure-as-code, and cloud-based data platforms. Proficiency with Databricks distributed processing (Spark), data orchestration, and similar data and BI technologies. People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving feedback and insight needed to grow, develop and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem The salary range for this position is: $157,590.00 - $203,940.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location . click apply for full job details

Overview Senior DevSecOps & Platform Engineer (CORPIT) Bowhead is seeking a highly skilled Senior DevSecOps & Platform Engineer to support the Naval Surface Warfare Center Dahlgren Division (NSWCDD) Research, Development, Test & Evaluation (RDT&E) environment. The successful candidate will possess a diverse technical background encompassing DevSecOps architecture, platform engineering, full-stack application development, cybersecurity compliance, and emerging Artificial Intelligence/Machine Learning (AI/ML) technologies. This position requires a versatile technical professional capable of designing, developing, deploying, securing, and maintaining enterprise applications and infrastructure across complex computing environments. The individual will play a critical role in integrating modern development practices, automating infrastructure and deployment processes, ensuring compliance with Department of Defense (DoD) cybersecurity requirements, and supporting innovative AI-enabled capabilities. The ideal candidate will demonstrate strong technical proficiency, analytical problem-solving skills, and the ability to collaborate with government stakeholders, software developers, cybersecurity personnel, and infrastructure engineering teams. Responsibilities DevSecOps Architecture and Platform Engineering Design, implement, and maintain secure, scalable DevSecOps platforms supporting enterprise application development and deployment. Develop, manage, and optimize Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab. Support containerized application environments utilizing Docker and Kubernetes. Administer and troubleshoot Linux and Windows operating environments. Support virtualized infrastructure utilizing VMware vSphere. Integrate artifact repositories, development tools, and collaborative platforms, including Artifactory, Jira, and Confluence. Identify opportunities to automate infrastructure management, application deployments, and operational workflows. Full-Stack Application Development Develop, maintain, and enhance software applications using Python and JavaScript. Support application integration across multiple platforms, databases, and enterprise systems. Develop and maintain database connectivity and application functionality utilizing Microsoft SQL Server, Oracle SQL, MySQL, and MariaDB. Collaborate with development teams to improve application performance, reliability, scalability, and security. Incorporate automated testing, code validation, and secure software development practices throughout the application lifecycle. Troubleshoot complex application, infrastructure, and integration issues. Cybersecurity and Compliance Integrate cybersecurity requirements and secure development practices throughout the software development lifecycle. Implement and validate Security Technical Implementation Guides (STIGs) across applicable systems and applications. Support vulnerability identification, assessment, tracking, and remediation using Assured Compliance Assessment Solution (ACAS), SCAP, McAfee security tools, and related technologies. Implement static code analysis and vulnerability scanning tools, including Xray, within development pipelines. Collaborate with cybersecurity professionals to address identified vulnerabilities and maintain compliance with applicable DoD security requirements. Support security assessments, audit preparation, remediation activities, and continuous monitoring efforts. Promote security automation and continuous compliance throughout the development and deployment process. Artificial Intelligence and Machine Learning Integration Support the evaluation and integration of AI/ML technologies into enterprise development and operational environments. Develop and implement agentic workflows and AI-enabled automation capabilities. Work with Large Language Models (LLMs) and agentic harnesses to support intelligent workflow orchestration and process improvement. Evaluate opportunities to leverage AI technologies to enhance software development, troubleshooting, cybersecurity operations, and organizational efficiency. Collaborate with technical stakeholders to assess the feasibility, security, and operational value of emerging AI capabilities. Technical Collaboration and Customer Support Serve as a technical subject matter expert across DevSecOps, application development, platform engineering, and cybersecurity disciplines. Collaborate with government customers and multidisciplinary technical teams to identify requirements and develop effective solutions. Provide technical recommendations concerning system architecture, application deployment, security improvements, and infrastructure modernization. Develop and maintain technical documentation, standard operating procedures, and configuration records. Investigate and resolve complex technical challenges while maintaining customer communication and operational continuity. Qualifications Seven to ten (7-10) years of experience. BA/BS degree required. Must have an IAT level III certificaiton. Demonstrated professional experience in DevSecOps engineering, platform engineering, software development, or closely related technical disciplines. Working knowledge of Linux and Windows operating systems. Experience with containerization and orchestration technologies, including Docker and Kubernetes. Experience supporting virtualized infrastructure using VMware vSphere. Hands-on experience developing and maintaining GitLab CI/CD pipelines. Familiarity with Artifactory, Jira, and Confluence. Programming experience using Python and JavaScript. Experience working with relational databases, including one or more of the following: Microsoft SQL Server, Oracle SQL, MySQL, or MariaDB. Understanding of cybersecurity principles, vulnerability management, and secure software development practices. Experience with cybersecurity compliance tools and processes, including STIGs, ACAS, SCAP, static code analysis, or comparable technologies. Strong troubleshooting and root-cause analysis capabilities across applications, infrastructure, and development environments. Ability to communicate technical information effectively to engineering teams, program leadership, and government stakeholders. Ability to work independently and collaboratively within a multidisciplinary technical environment. Preferred Qualifications Experience designing and implementing enterprise DevSecOps architectures. Advanced Kubernetes administration, configuration, and troubleshooting experience. Experience integrating automated security scanning and vulnerability management into CI/CD pipelines. Familiarity with DoD cybersecurity compliance requirements and Risk Management Framework (RMF) processes. Experience supporting DoD RDT&E or similarly complex federal IT environments. Experience developing full-stack applications and integrating enterprise database systems. Knowledge of AI/ML technologies, Large Language Models, agentic harnesses, and agentic workflows. Experience implementing AI-enabled automation within secure enterprise environments. Experience supporting platform modernization, infrastructure automation, and continuous compliance initiatives. Relevant industry certifications in DevSecOps, cloud technologies, Kubernetes, software engineering, or cybersecurity. Desired Professional Attributes Demonstrates adaptability across multiple technical disciplines and rapidly evolving technologies. Possesses strong analytical skills and an innovative approach to problem-solving. Maintains a security-focused mindset throughout development and operational activities. Demonstrates initiative in identifying opportunities for automation and process improvement. Effectively balances software development, infrastructure operations, and cybersecurity requirements. Builds productive relationships with customers and technical stakeholders. Demonstrates attention to detail, accountability, and a commitment to mission success. Targeted salary range is $175,000 to $195,000 annually based on qualifications and experience. Physical Demands: Must be able to lift up to 25 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Top Secret/SCI level. US Citizenship is a requirement for Top Secret/SCI clearance at this location. Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Job Description Job Description About Axtria Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax , Axtria InsightsMax , Axtria SalesIQ , and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 75 countries, Axtria is one of the largest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. What we need. We're looking for a Senior Product Designer who combines exceptional craft with sound judgement and deep product thinking to shape Axtria's product experience. You'll lead end-to-end design across web and mobile, partnering with Product Managers, Engineers and designers to turn complex workflows into simple, intuitive SaaS tools for the commercial operations of life sciences organizations. What You'll Do Own end-to-end design for product surfaces across web and mobile, from problem framing through high-fidelity delivery. Turn ambiguous, fast-moving problem spaces into clear, testable design solutions, working closely with product and engineering. Connect design decisions to business and customer outcomes. Be clear about what a design is meant to change and how we'll know it worked. Design how users work with AI and agents: how they give direction, see what the agent did, correct it, and trust the result. Think in systems. Spot patterns, build for reuse, and help shape the design system, not just use it, with a focus on consistency, scalability and craft. Present your work with clear rationale, take in feedback from stakeholders, and hold a high-quality bar across the product lifecycle. Use AI in your own design process to move faster and raise the quality of your output. What We're Looking For Bachelor's degree in UX Design, HCI, Interaction Design or a related field, or equivalent experience, with 8+ years of product design experience in B2B SaaS, enterprise platforms or enterprise software. Past work on SaaS products & life sciences or pharma, or related industries areas. Experience designing for AI agents, rich data visualizations or complex services. An outstanding portfolio of thoughtfully designed products and strong visual design, showing the full design process, from strong conceptual foundations to refining the smallest details with clear rationale. Exceptional visual and interaction design skills, with a sharp eye for typography, spacing, color, layout and motion. Strong judgement. You know what good looks like, can explain why, and will hold the line when it matters. Technical fluency to work with engineers as a peer: how components are built, how design decisions behave in code, and what is feasible. A systems thinker who spots patterns, builds for reuse, and considers how design decisions scale across a product. An AI-native way of working. You use AI every day, you know where it helps and where it doesn't, and you design for how people will actually work with it. Hands-on experience designing AI-powered features such as natural language interfaces, agents and predictive insights for real users solving real problems. A self-starter who sees a gap, builds the fix and shows it working. You own outcomes and you're comfortable with ambiguity. Clear communication and storytelling. You can explain design intent, navigate ambiguous product spaces, and influence cross-functional peers. Clear, confident written and spoken English, with the ability to present to executive stakeholders. A proven track record of taking projects from concept to launch in a commercial market. Location, Perks & Benefits Our people are our greatest asset. We offer a transparent, collaborative culture where your work is recognized, where you'll learn from - and help build - the next generation of industry leaders. Preferred location: Greater NY/NJ or Greater Philadelphia metro area, working from Axtria's Berkeley Heights, NJ office or client sites three days a week. Up to 25% travel to client sites and conferences. Comprehensive medical plans, HSA, and FSA with company contributions. Flexible PTO and company-paid holidays. Retirement program with company match. Total compensation commensurate with experience. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. Powered by JazzHR jqxGMwGJS2

Job Description Job Description Job Title: Electronic Hardware Design & Test Engineer Location: 3728 Arapaho Rd Addison, TX 75001 Engagement: Fulltime About AIIR: AIIR focuses exclusively on delivering innovative, sustainable systems that leverage advanced machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers greater energy efficiency compared to traditional systems, intelligently adapting to environmental conditions and occupant needs in real time. AIIR is committed to creating healthier, more comfortable living spaces through smart technology. Its steadfast dedication to sustainability and innovation drives the development of solutions that improve project outcomes and positively impact the planet Electronic Hardware Design & Test Engineer AIIR has an exciting and important opportunity for the right person to join our Intelligent HVAC Systems engineering and product development team to design and commercialize our own unique, purpose-built HVAC systems as an Electronic Hardware Design & Test Engineer. This is a hands-on and highly visible opportunity in a rapidly growing and evolving company with lots of room to grow! We are seeking a person with at least 3 years demonstrated experience with designing and testing complex electronic systems such as embedded devices, wireless devices, and power electronics systems. Major Areas of Responsibility: Perform design and development of electronic control hardware for HVAC systems under the guidance of senior design staff Perform testing of electronic control hardware for HVAC systems including for and not limited to performance, EMI, and reliability. Build prototypes, modify, test, and troubleshoot as needed the electronic hardware and associated HVAC system, components, and instruments. Support design and development of electronic circuit boards including selection of appropriate electronic components Support HVAC system buildup, modifications, and testing Utilize typical electrical test equipment to analyze and troubleshoot board-level and system-level electrical issues Ensure all designs, tests, and development activities are well documented Develop procedures and manuals as necessary Support and/or solve electronics packaging issues including electrical isolation, sealing, thermal management, interconnection, electromagnetic interference (EMI), etc. Required Skills, Abilities, Education and Experience: Bachelor's degree in Electrical or Electronics Engineering required 3 years of demonstrable experience Broad knowledge of electronic hardware systems, embedded hardware as well as power electronics Hands-on experience with testing electronic components and systems with embedded electronics Strong understanding of interface of electronic hardware, firmware, and associated control algorithms with the applied system Good understanding of technologies such as BLE, Wi-Fi, power management, sensor control, USB, UART, I2C, and various bus communication technologies desired Good understanding of analog and digital circuit design and micro-processors Proficiency with basic EE tools such as Oscilloscopes, Network analyzers, Signal Generators etc. Experience with design of analog/digital circuits and micro-processors, PCB design and layout preferred Familiarity with embedded firmware and software Knowledge of embedded C, and Linux and Linux operating system Familiarity and use of current of electronics design and simulation tool suites Demonstrated experience in using electronic CAD tools particularly Altium Ready for Your Next Big Adventure? If you are a strategic thinker and innovation in the HVAC industry, we want to hear from you! Please submit your resume and a cover letter detailing your relevant experience. AIIR Products is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Powered by JazzHR eOaaaZo8VX

Job Description Job Description Job Title: Hardware Engineer/ Sr. Hardware Engineer Location: 3728 Arapaho Rd Addison, TX 75001 Engagement: Fulltime- Direct Hire About AIIR: AIIR focuses exclusively on delivering innovative, sustainable systems that leverage advanced machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers greater energy efficiency compared to traditional systems, intelligently adapting to environmental conditions and occupant needs in real time. AIIR is committed to creating healthier, more comfortable living spaces through smart technology. Its steadfast dedication to sustainability and innovation drives the development of solutions that improve project outcomes and positively impact the planet. Senior Hardware Engineer AIIR has an exciting and important opportunity for the right person to join our Intelligent HVAC Systems engineering and product development team to design and commercialize our own unique, purpose-built HVAC systems as a Senior Hardware Engineer. This is a hands-on and highly visible opportunity in a rapidly growing and evolving company with lots of room to grow! We are seeking a person with at least 8 years demonstrated experience with designing and testing of complex electronic systems such as embedded devices and power electronics systems. Major Areas of Responsibility: Support design and development of electronic control hardware for HVAC systems Build prototypes, modify, test, and troubleshoot as needed the electronic hardware and associated HVAC system, components, and instruments Support design and development of electronic circuit boards including selection of appropriate electronic components Support HVAC system build-up, modifications, and testing Utilize typical electrical test equipment to analyze and troubleshoot board and system level electrical issues Ensure all designs, tests, and development activities are well documented Develop procedures and manuals as necessary Support and/or solve electronics packaging issues including electrical isolation, sealing, thermal management, interconnection, electromagnetic interference (EMI), etc. Required Knowledge, Skills, Abilities, Education and Experience: Bachelor's degree in Electrical or Electronics Engineering required. Graduate degree preferred. 8 years of demonstrable experience including 5 in hardware product development Experience with design of electronic control systems including embedded hardware and power electronics Experience with hardware design including design of analog/digital circuits, PCB design and layout, circuit simulations, hardware-firmware interactions, selection of components, and optimization of design. Expert level understanding of the theory and application of magnetics (inductors, transformers) and capacitors (Electrolytic, film and Ceramic) used for power conversion Experience with design and modeling tools for design of electronic circuits such as LTspice/PSpice, MATLAB etc. Experience with drives with working knowledge of FOC desired Experience with PFC desired Experience with designing systems for EMI Hands-on experience working in a lab environment with development, troubleshooting, and testing of electronic components and systems with embedded electronics Good understanding of technologies such as BLE, Wi-Fi, power management, sensor control, USB, UART, I2C, and various bus communication technologies. Experience with current microprocessor devices and technologies including ARM SOCs, various microcontrollers, flash, and memory Proficiency with basic EE tools such as Oscilloscopes, Network analyzers, Signal Generators etc. Familiarity with embedded firmware and software and ability to modify and update as needed Working level knowledge of embedded C, and Linux and Linux operating system Familiarity and use of current of electronics design and simulation tool suites Demonstrated experience in using electronic CAD tools preferably Altium Experience with HVAC&R equipment electronics is a plus Ready for Your Next Big Adventure? If you are a strategic thinker and innovation in the HVAC industry, we want to hear from you! Please submit your resume and a cover letter detailing your relevant experience. AIIR Products is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Powered by JazzHR znKHRHFugF

AI Engineer 4 (AI Foundations) Overview: 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 New York, NY: $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 Job Title: Senior Cloud Security Architect Location: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Type: Fulltime Responsibilities The architect will work with product owners, enterprise architecture, engineering, and security teams to protect sensitive data, strengthen identity and access controls, secure cloud environments, and support compliance with enterprise policies and industry standards. The role requires strong AWS expertise and the ability to lead multiple security initiatives across IaaS, SaaS, and internally developed applications. Requirements Extensive experience with security architecture and threat modeling for complex enterprise applications Strong knowledge of STRIDE, attack trees, abuse cases, data flow analysis, and trust boundary analysis Hands on experience evaluating security risks in AI, machine learning, and agentic AI applications Advanced AWS knowledge across IAM, networking, compute, storage, RDS, messaging, serverless, ECS/EKS, CI/CD, and AI/ML services Strong understanding of application security, API security, IAM, authentication, authorization, encryption, key management, and data protection Experience translating identified threats into practical security controls and remediation recommendations Knowledge of DevSecOps, pipeline security, container security, infrastructure security, SIEM, CSPM, and CWPP solutions Familiarity with security frameworks and standards such as NIST, OWASP, CIS, FedRAMP, ISO, and SOX Experience with resilient, highly available, API driven, stateless, and integrated cloud or SaaS environments Ability to lead multiple initiatives and communicate effectively with technical and business stakeholders This position is required in one of the following locations: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related field Preferred certifications include CISSP, CCSP, AWS Professional or Specialty certifications, or equivalent credentials Ref: Pittsburgh

This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. Senior Manager, Enterprise Analytics & Data Platforms The Senior Manager, Enterprise Analytics & Data Platforms leads teams responsible for enterprise analytics, reporting, and data platform capabilities that enable data-driven decision making across the organization. This role requires a strong balance of leadership, business partnership, and technical acumen. The leader will manage managers and technical teams while driving strategy, delivery, modernization, and operational excellence across analytics, data engineering, reporting, and AI-enabled capabilities. The leader will partner with business and technology business customers to improve data accessibility, strengthen governance, and position data as a strategic asset. Location: Hybrid role based in Newport News, VA (3 days in office / 2 days remote). Relocation assistance available for qualified candidates. Duties and Responsibilities: Lead, coach, and develop managers and technical teams across analytics, reporting, and data platform functions. Set clear priorities, goals, and performance expectations aligned to business outcomes. Build strong cross-functional partnerships with business and technology leaders. Lead delivery and support of enterprise analytics, business intelligence, reporting, and data platform solutions. Drive analytics roadmaps, modernization initiatives, and scalable platform capabilities. Ensure solutions are secure, reliable, well-governed, and aligned with enterprise architecture standards. Establish best practices for data management, analytics delivery, reporting, and operational support. Qualifications and Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent work experience. 8+ years of experience in analytics, business intelligence, data engineering, enterprise data platforms, or related technology disciplines. 3+ years of leadership experience managing managers, technical teams, or cross-functional organizations. Demonstrated success delivering enterprise-scale analytics, reporting, and data platform solutions. Ability to build strong business partnerships, influence stakeholders, and lead sophisticated initiatives in a fast-paced environment. Good communication, organization, and leadership skills. Solid experience with Databricks, including data engineering, analytics, orchestration, and platform management. Experience with Microsoft analytics and data technologies, including Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Power BI, Synapse Analytics, and Azure AI services. Good understanding of data warehousing, data lakes, semantic modeling, and modern analytics architectures. Experience with enterprise reporting, self-service analytics, and cloud-based analytics platforms. Knowledge of data governance, data quality, security, compliance, and master data management practices. Preferred Qualifications: Experience leading enterprise analytics and data modernization initiatives. Experience with artificial intelligence, machine learning, or Generative AI solutions. Experience developing managers and high-performing technical teams. Experience driving adoption of self-service analytics and data-driven decision making. Experience managing technology budgets, vendor relationships, and platform investments. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $9,458.97 - $16,551.03 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information

Job Description Job Description We are Rokt. We are the global leader in ecommerce, on a mission to make every transaction more relevant. We've built our business around the Transaction Moment , the span from cart to confirmation where customer attention and intent peak, and where more than 90% of a business's ancillary revenue potential sits untapped. The Rokt Brain leverages advanced machine learning to determine the next best action for every customer in real time across the Rokt Network, powering 13 billion transactions a year for brands like: Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Albertsons and more. Since 2012 we've grown from a Sydney startup, to a $3.5B company with 700+ Rokt'stars across eight offices and 15 markets, sustaining a Compound Annual Growth Rate of 40%+ for over a decade. At Rokt, we practice transparency in career paths and compensation, which is why we have a well-defined career ladder with clear compensation and career paths based on competency and ability. Compensation for this role is $50.48/hour. In addition, you will receive a generous technology allowance to spend on a Macbook Pro M5 + accessories: yours to keep after the residency. If you secure a full-time offer post-residency, total target compensation will be $127,000, including a fixed annual salary of $120,000, employee equity plan grant (RSUs), and world-class benefits. This is the expected pay for the role. Final compensation is determined by the level assessed through the interview process and based on how your experience and skills map to our career ladder. About the role: The Rokt Residency is an 18 week, full-time, paid early-career program for software engineers working out of our office in New York City . This cohort of residencies will run from January 12th 2027 through to May 18th 2027. Residents will have the opportunity to receive full-time offers to join Rokt as Builders on the completion of their residency. How your future team uses AI: We are an AI-first company. We're a team of builders. That means the person who spots the problem is usually the person who fixes it, and "someone should build a tool for that" is treated as a volunteer sign-up sheet. We use AI and automation tools to move faster, and expect you to figure things out when the path isn't obvious. If you prefer established processes and clearly defined lanes, you probably won't like it here. Rokt Builders use AI coding agents to write, test, and review code, which means a small team ships what used to take a large one. Teams use AI to investigate production issues, generate test coverage, and prototype new features in hours instead of weeks. Residents get the same enterprise AI tools from day one and are expected to use them to build faster. How you will contribute: Build and deploy production services and features on a Rokt engineering team, from prototype through to release. Use AI tools and automation to speed up coding, testing, and deployment. Find performance bottlenecks and use data to improve systems that run at the scale of billions of transactions. Work with product managers, designers, and senior Builders to ship features that drive revenue for Rokt and its partners. Deliver measurable contribution to your team by the end of the Residency. Requirements What you bring: Software engineering experience, including internships, personal projects, open-source work, or hackathons. Strong computer science fundamentals: data structures, algorithms, and how to write clean, tested code Proficiency in at least one programming language, such as Python, Go, TypeScript, Java, or C# Evidence that you have built and shipped something real, such as a project, product, or tool that other people use Hands-on experience using AI coding tools to build software Ability to work in fast-paced teams Constantly looking for new ways to improve and accelerate a function Availability to work full time in the office in New York, for the full 18 weeks. Benefits About Rokt'stars: We move fast and decide with incomplete information, because a good decision this week can lead to a perfect one next quarter. We work as one team, which means the best idea wins regardless of who raised it or what level they are. We hire people who are brilliant and humble and who are obsessed with making the customer successful. Benefits from Day One Every employee has enterprise access to leading AI tools with generous usage limits, building AI fluency as a core skill. Catered lunch every day and a fully stocked pantry Dog-friendly offices so you can bring your best friend to work Generous Required Technology Allowance Permanent employment benefits: Fully funded insurance (Medical, Dental, Vision) Dollar-for-dollar 401K matching plan (up to 4% of fixed annual salary) Fully funded life, short term, and long term disability insurance Equity in a profitable, fast-growing company approaching $1 Billion in revenue Monthly Wellness and Cell Phone Allowances Quarterly performance reviews for most roles, so feedback and promotion decisions don't wait Extra leave (bonus annual leave, sabbatical leave etc.) Work in the office with your team at least 4 days a week, because we believe we are better together. At Rokt, we choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing and keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team. NOTE: Rokt only contacts candidates addresses. We never request payment, bank details, or identity documents before a written offer, and we never interview solely over chat apps. Verify any role at if you're unsure.