{"schemaVersion":"jobsearcher.job.v1","id":"ea572bda46105df4669f4d15","url":"https://jobsearcher.com/jobs/ea572bda46105df4669f4d15","canonicalUrl":"https://jobsearcher.com/jobs/ea572bda46105df4669f4d15","title":"MLOps / AI Ops Engineer","description":"Title: MLOps / AI Ops EngineerJob Type: ContractContract Length: 12 MonthsPay Range: $50/hr – $175/hrStart Date: ASAPLocation: RemoteAbout The OpportunityOur client, a leader in AI testing and Generative AI solutions, is looking for a skilled MLOps / AI Ops Engineer to join their team for a 12-month engagement. This project involves building and automating end-to-end CI/CD pipelines for machine learning models and establishing production observability frameworks to ensure model reliability and scalability. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.Key Responsibilities & DeliverablesThis role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:Building and automating end-to-end CI/CD pipelines for machine learning models.Setting up observability and monitoring frameworks to track model accuracy, latency, and drift in real-time.Managing model deployment strategies (canary, A/B testing) to ensure zero-downtime updates.Automating the scaling of inference services based on incoming request volume.Establishing standard workflows for model governance and reproducibility.Required Skills & Experience:We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:4+ years of experience in MLOps or DevOps with an ML focus.Deep expertise in MLflow, Kubeflow, and CI/CD tools (GitHub Actions, Jenkins). This isn't a learning role—you need to be a subject matter expert.Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.Experience with Python, Kubernetes, and cloud-native ML services.Strong communication skills to provide clear and concise status updates to the project team.","company":"DeWinter Group","rawCompany":"dewinter group","city":"Campbell","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:05:30.142Z","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":"15-2051.00","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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"MLOps / AI Ops Engineer","description":"Title: MLOps / AI Ops EngineerJob Type: ContractContract Length: 12 MonthsPay Range: $50/hr – $175/hrStart Date: ASAPLocation: RemoteAbout The OpportunityOur client, a leader in AI testing and Generative AI solutions, is looking for a skilled MLOps / AI Ops Engineer to join their team for a 12-month engagement. This project involves building and automating end-to-end CI/CD pipelines for machine learning models and establishing production observability frameworks to ensure model reliability and scalability. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.Key Responsibilities & DeliverablesThis role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:Building and automating end-to-end CI/CD pipelines for machine learning models.Setting up observability and monitoring frameworks to track model accuracy, latency, and drift in real-time.Managing model deployment strategies (canary, A/B testing) to ensure zero-downtime updates.Automating the scaling of inference services based on incoming request volume.Establishing standard workflows for model governance and reproducibility.Required Skills & Experience:We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:4+ years of experience in MLOps or DevOps with an ML focus.Deep expertise in MLflow, Kubeflow, and CI/CD tools (GitHub Actions, Jenkins). This isn't a learning role—you need to be a subject matter expert.Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.Experience with Python, Kubernetes, and cloud-native ML services.Strong communication skills to provide clear and concise status updates to the project team.","datePosted":"2026-04-09T08:05:30.142Z","dateModified":"2026-04-09T08:05:30.142Z","hiringOrganization":{"@type":"Organization","name":"DeWinter Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Campbell","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea572bda46105df4669f4d15"},"url":"https://jobsearcher.com/jobs/ea572bda46105df4669f4d15"}}