{"schemaVersion":"jobsearcher.job.v1","id":"d1d40476448c923a3ca7af13","url":"https://jobsearcher.com/jobs/d1d40476448c923a3ca7af13","canonicalUrl":"https://jobsearcher.com/jobs/d1d40476448c923a3ca7af13","title":"4467 ML Ops Engineer","description":"4467 ML Ops Engineer4467 | US CitizenJob Description:OVERVIEW:We are seeking an ML Ops Engineer to own the machine-learning lifecycle in production. You will be responsible for getting the five detection models from trained artifact to live, low-latency serving, then keeping them healthy -monitored, versioned, and retrained. Your product is the models running well in production, not the data pipeline underneath them.GENERAL DUTIES:Model release management in MLflow - versioning, aliasing, promotion and rollback, champion/challenger across the five models.Serving models for real-time inference - package and optimize PyTorch models, run them in the low-latency inference workers, hold the","company":"Procession Systems","rawCompany":"procession systems","city":"Chantilly","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-17T12:32:13.096Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"4467 ML Ops Engineer","description":"4467 ML Ops Engineer4467 | US CitizenJob Description:OVERVIEW:We are seeking an ML Ops Engineer to own the machine-learning lifecycle in production. You will be responsible for getting the five detection models from trained artifact to live, low-latency serving, then keeping them healthy -monitored, versioned, and retrained. Your product is the models running well in production, not the data pipeline underneath them.GENERAL DUTIES:Model release management in MLflow - versioning, aliasing, promotion and rollback, champion/challenger across the five models.Serving models for real-time inference - package and optimize PyTorch models, run them in the low-latency inference workers, hold the","datePosted":"2026-09-17T12:32:13.096Z","dateModified":"2026-09-17T12:32:13.096Z","hiringOrganization":{"@type":"Organization","name":"Procession Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chantilly","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d1d40476448c923a3ca7af13"},"url":"https://jobsearcher.com/jobs/d1d40476448c923a3ca7af13"}}