{"schemaVersion":"jobsearcher.job.v1","id":"07ac3bf618b7a6ed96227a98","url":"https://jobsearcher.com/jobs/07ac3bf618b7a6ed96227a98","canonicalUrl":"https://jobsearcher.com/jobs/07ac3bf618b7a6ed96227a98","title":"AI/ML DevOps Engineer","description":"Overview:\nAI/ML DevOps Engineer\nMcLean, VA\nTS/SCI with Poly\n\nAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.\n\nDo you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a AI/ML DevOps Engineer in McLean, Virginia.\nResponsibilities:\nResponsibilities:\n\nDevelop and maintain automated pipelines for model validation, continuous evaluation, and performance monitoring.\nImplement systems to detect and quantify model drift, degradation, and changes in data distributions.\nBuild automated workflows for scheduled or event-driven model retraining and deployment.\nDesign scalable, reliable infrastructure to support the end-to-end AI/ML lifecycle.\nCreate frameworks for model documentation, versioning, and artifact management.\nIntegrate monitoring tools to track model KPIs, system health, and demand signals.\nPartner with AI/ML and NLP teams to operationalize state-of-the-art techniques for accuracy assessment and benchmarking.\nEnsure reliable, reproducible model deployment processes across environments.\n\nQualifications:\nRequired Qualifications:\n\nUnderstanding of ML model lifecycles, common NLP tasks, and metrics.\nExperience with CI/CD pipelines, containerization, orchestration, and cloud platforms.\nStrong proficiency with Python and IaC tools (Terraform, CloudFormation, etc.).\nPromote DevOps and MLOps best practices, including CI/CD, IaC, and automated testing.\nEvaluate emerging tools and methodologies for AI model monitoring and maintenance.\nPreferred Qualifications:\n\nImplementing model drift detection or performance monitoring mechanisms.\nWorking with distributed systems and scalable microservices architectures.\nBackground with LLM or NLP-specific evaluation frameworks is a plus.\nWhat you can expect from us:\nBCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.","company":"Bridge Core Bcore","rawCompany":"bridge core bcore","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:56:29.236Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML DevOps Engineer","description":"Overview:\nAI/ML DevOps Engineer\nMcLean, VA\nTS/SCI with Poly\n\nAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.\n\nDo you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a AI/ML DevOps Engineer in McLean, Virginia.\nResponsibilities:\nResponsibilities:\n\nDevelop and maintain automated pipelines for model validation, continuous evaluation, and performance monitoring.\nImplement systems to detect and quantify model drift, degradation, and changes in data distributions.\nBuild automated workflows for scheduled or event-driven model retraining and deployment.\nDesign scalable, reliable infrastructure to support the end-to-end AI/ML lifecycle.\nCreate frameworks for model documentation, versioning, and artifact management.\nIntegrate monitoring tools to track model KPIs, system health, and demand signals.\nPartner with AI/ML and NLP teams to operationalize state-of-the-art techniques for accuracy assessment and benchmarking.\nEnsure reliable, reproducible model deployment processes across environments.\n\nQualifications:\nRequired Qualifications:\n\nUnderstanding of ML model lifecycles, common NLP tasks, and metrics.\nExperience with CI/CD pipelines, containerization, orchestration, and cloud platforms.\nStrong proficiency with Python and IaC tools (Terraform, CloudFormation, etc.).\nPromote DevOps and MLOps best practices, including CI/CD, IaC, and automated testing.\nEvaluate emerging tools and methodologies for AI model monitoring and maintenance.\nPreferred Qualifications:\n\nImplementing model drift detection or performance monitoring mechanisms.\nWorking with distributed systems and scalable microservices architectures.\nBackground with LLM or NLP-specific evaluation frameworks is a plus.\nWhat you can expect from us:\nBCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.","datePosted":"2026-04-14T10:56:29.236Z","dateModified":"2026-04-14T10:56:29.236Z","hiringOrganization":{"@type":"Organization","name":"Bridge Core Bcore","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07ac3bf618b7a6ed96227a98"},"url":"https://jobsearcher.com/jobs/07ac3bf618b7a6ed96227a98"}}