{"schemaVersion":"jobsearcher.job.v1","id":"50ec12b71fccce00a3a1e63b","url":"https://jobsearcher.com/jobs/50ec12b71fccce00a3a1e63b","canonicalUrl":"https://jobsearcher.com/jobs/50ec12b71fccce00a3a1e63b","title":"Machine Learning Ops Engineer","description":"We are seeking a Machine Learning Operations (MLOps) Engineer to support the development and maintenance of infrastructure and tools for deploying and monitoring machine learning models.\r\nThis role is part of a team that delivers modern cloud-based data solutions to support Sales, Marketing, Finance, and AI/ML analytics capabilities.\r\nThe ideal candidate will collaborate closely with data scientists and engineers to ensure scalable, secure, and efficient model operations.\r\nKey ResponsibilitiesModel Deployment and Management: Develop and manage scalable and reliable deployment processes for machine learning models in production environments.\r\nInfrastructure Automation: Design and implement automated workflows for model training, testing, and deployment using tools such as Jenkins, Docker, and Kubernetes.\r\nAerospike Management: Utilize Aerospike for high-performance data storage and retrieval to support ML applications.\r\nAPI Development: Build and maintain robust APIs for integrating models with various applications and services.\r\nCollaboration: Work closely with cross-functional teams to translate business requirements into technical solutions.\r\nMonitoring and Optimization: Implement monitoring tools to track model performance and system health, and optimize infrastructure as needed.\r\nSecurity and Compliance: Ensure all deployed models and systems adhere to industry standards and security protocols.\r\nRequired QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\r\n3+ years of experience in MLOps, DevOps, or a related field with a focus on machine learning.\r\n1+ years of experience developing solutions on AWS cloud platform.\r\nProficiency in Python and/or Java with strong coding and debugging skills.\r\nExperience with CI/CD practices and tools.\r\nProven experience with container-based systems such as Docker.\r\nPreferred QualificationsExperience with Kubernetes and cloud-native architecture.\r\nFamiliarity with Aerospike or similar high-performance data stores.\r\nExposure to agile development environments and cross-functional collaboration.#J-18808-Ljbffr","company":"Compunnel","rawCompany":"compunnel","city":"Granite Heights","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-09-23T01:20:13.154Z","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":"Machine Learning Ops Engineer","description":"We are seeking a Machine Learning Operations (MLOps) Engineer to support the development and maintenance of infrastructure and tools for deploying and monitoring machine learning models.\r\nThis role is part of a team that delivers modern cloud-based data solutions to support Sales, Marketing, Finance, and AI/ML analytics capabilities.\r\nThe ideal candidate will collaborate closely with data scientists and engineers to ensure scalable, secure, and efficient model operations.\r\nKey ResponsibilitiesModel Deployment and Management: Develop and manage scalable and reliable deployment processes for machine learning models in production environments.\r\nInfrastructure Automation: Design and implement automated workflows for model training, testing, and deployment using tools such as Jenkins, Docker, and Kubernetes.\r\nAerospike Management: Utilize Aerospike for high-performance data storage and retrieval to support ML applications.\r\nAPI Development: Build and maintain robust APIs for integrating models with various applications and services.\r\nCollaboration: Work closely with cross-functional teams to translate business requirements into technical solutions.\r\nMonitoring and Optimization: Implement monitoring tools to track model performance and system health, and optimize infrastructure as needed.\r\nSecurity and Compliance: Ensure all deployed models and systems adhere to industry standards and security protocols.\r\nRequired QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\r\n3+ years of experience in MLOps, DevOps, or a related field with a focus on machine learning.\r\n1+ years of experience developing solutions on AWS cloud platform.\r\nProficiency in Python and/or Java with strong coding and debugging skills.\r\nExperience with CI/CD practices and tools.\r\nProven experience with container-based systems such as Docker.\r\nPreferred QualificationsExperience with Kubernetes and cloud-native architecture.\r\nFamiliarity with Aerospike or similar high-performance data stores.\r\nExposure to agile development environments and cross-functional collaboration.#J-18808-Ljbffr","datePosted":"2026-09-23T01:20:13.154Z","dateModified":"2026-09-23T01:20:13.154Z","hiringOrganization":{"@type":"Organization","name":"Compunnel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Granite Heights","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"50ec12b71fccce00a3a1e63b"},"url":"https://jobsearcher.com/jobs/50ec12b71fccce00a3a1e63b"}}