{"schemaVersion":"jobsearcher.job.v1","id":"eccb1f83dd3e7df74f6de9ab","url":"https://jobsearcher.com/jobs/eccb1f83dd3e7df74f6de9ab","canonicalUrl":"https://jobsearcher.com/jobs/eccb1f83dd3e7df74f6de9ab","title":"Senior MLOps Engineer","description":"A company is looking for a Senior ML Ops Engineer to manage the end-to-end ML lifecycle for a custom-built inference platform.\nKey Responsibilities\n\n Build, maintain, and optimize production-grade ML pipelines for seamless transitions from experimentation to production\n Define and implement strategies for model versioning, rollout, rollback, and lifecycle management\n Collaborate cross-functionally to translate ML requirements into production-ready systems and influence technical planning\n\nRequired Qualifications\n\n Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent experience\n 5-8+ years of experience in Software Engineering, ML Engineering, Platform Engineering, or Infrastructure Engineering\n Hands-on experience deploying and maintaining LLMs and deep learning models in production environments\n Strong Python skills and familiarity with ML frameworks (PyTorch, TensorFlow or similar)\n Experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with ML lifecycle tooling","company":"Virtual Vocations","rawCompany":"virtual vocations","city":"Eugene","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-04-14T03:32:50.485Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior MLOps Engineer","description":"A company is looking for a Senior ML Ops Engineer to manage the end-to-end ML lifecycle for a custom-built inference platform.\nKey Responsibilities\n\n Build, maintain, and optimize production-grade ML pipelines for seamless transitions from experimentation to production\n Define and implement strategies for model versioning, rollout, rollback, and lifecycle management\n Collaborate cross-functionally to translate ML requirements into production-ready systems and influence technical planning\n\nRequired Qualifications\n\n Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent experience\n 5-8+ years of experience in Software Engineering, ML Engineering, Platform Engineering, or Infrastructure Engineering\n Hands-on experience deploying and maintaining LLMs and deep learning models in production environments\n Strong Python skills and familiarity with ML frameworks (PyTorch, TensorFlow or similar)\n Experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with ML lifecycle tooling","datePosted":"2026-04-14T03:32:50.485Z","dateModified":"2026-04-14T03:32:50.485Z","hiringOrganization":{"@type":"Organization","name":"Virtual Vocations","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eugene","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eccb1f83dd3e7df74f6de9ab"},"url":"https://jobsearcher.com/jobs/eccb1f83dd3e7df74f6de9ab"}}