{"schemaVersion":"jobsearcher.job.v1","id":"271cef0d64d8afc22372f437","url":"https://jobsearcher.com/jobs/271cef0d64d8afc22372f437","canonicalUrl":"https://jobsearcher.com/jobs/271cef0d64d8afc22372f437","title":"Machine Learning Engineer","description":"OverviewAvanciers is hiring MLOPS (Ray) Engineer for one of our Fortune 500 clients. This is a long-term duration role with the client.\r\nLocation: Austin, TX / Sunnyvale, CA\r\nDuration: 12+ months\r\nInterview Type: Video\r\nPrimary SkillsMLOps, Ray, GPU configuration\r\nGPU management\r\nCloud automation and orchestration\r\nCore ResponsibilitiesRay & GPU Management: Operate, monitor, and troubleshoot production and non-production environments with a deep understanding of Ray and GPU configurations.\r\nCloud Automation: Automate service deployment and orchestration across multiple cloud platforms, specifically AWS and GCP.\r\nAPI Development: Design and implement REST or RPC APIs and other services using Python or Go.\r\nPerformance & Reliability: Participate in capacity planning, scale testing, and disaster recovery. You will also be responsible for implementing and reporting on SLOs and SLIs.\r\nCollaboration: Work closely with engineering, QA, and program management teams to support and improve ML pipelines.\r\nWhat We\\'re Looking ForExpertise in Ray for managing distributed ML workloads.\r\nExperience in automating and orchestrating services in AWS and GCP.\r\nProficiency in designing and implementing APIs with Python or Go.\r\nFamiliarity with Ray development is a plus.\r\nExperience with implementing SLOs and SLIs.\r\nSeniority levelMid-Senior level\r\nEmployment typeContract\r\nJob functionEngineering and Information Technology\r\nIndustriesIT Services and IT Consulting\r\nReferrals increase your chances of interviewing at Avanciers Inc. by 2x.\r\nGet notified about new Machine Learning Engineer jobs in Austin, Texas Metropolitan Area.#J-18808-Ljbffr","company":"Avanciers","rawCompany":"avanciers","city":"Austin","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-09-23T01:25:34.248Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Machine Learning Engineer","description":"OverviewAvanciers is hiring MLOPS (Ray) Engineer for one of our Fortune 500 clients. This is a long-term duration role with the client.\r\nLocation: Austin, TX / Sunnyvale, CA\r\nDuration: 12+ months\r\nInterview Type: Video\r\nPrimary SkillsMLOps, Ray, GPU configuration\r\nGPU management\r\nCloud automation and orchestration\r\nCore ResponsibilitiesRay & GPU Management: Operate, monitor, and troubleshoot production and non-production environments with a deep understanding of Ray and GPU configurations.\r\nCloud Automation: Automate service deployment and orchestration across multiple cloud platforms, specifically AWS and GCP.\r\nAPI Development: Design and implement REST or RPC APIs and other services using Python or Go.\r\nPerformance & Reliability: Participate in capacity planning, scale testing, and disaster recovery. You will also be responsible for implementing and reporting on SLOs and SLIs.\r\nCollaboration: Work closely with engineering, QA, and program management teams to support and improve ML pipelines.\r\nWhat We\\'re Looking ForExpertise in Ray for managing distributed ML workloads.\r\nExperience in automating and orchestrating services in AWS and GCP.\r\nProficiency in designing and implementing APIs with Python or Go.\r\nFamiliarity with Ray development is a plus.\r\nExperience with implementing SLOs and SLIs.\r\nSeniority levelMid-Senior level\r\nEmployment typeContract\r\nJob functionEngineering and Information Technology\r\nIndustriesIT Services and IT Consulting\r\nReferrals increase your chances of interviewing at Avanciers Inc. by 2x.\r\nGet notified about new Machine Learning Engineer jobs in Austin, Texas Metropolitan Area.#J-18808-Ljbffr","datePosted":"2026-09-23T01:25:34.248Z","dateModified":"2026-09-23T01:25:34.248Z","hiringOrganization":{"@type":"Organization","name":"Avanciers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"271cef0d64d8afc22372f437"},"url":"https://jobsearcher.com/jobs/271cef0d64d8afc22372f437"}}