{"schemaVersion":"jobsearcher.job.v1","id":"664a3cfabaf7e97fb50b8947","url":"https://jobsearcher.com/jobs/664a3cfabaf7e97fb50b8947","canonicalUrl":"https://jobsearcher.com/jobs/664a3cfabaf7e97fb50b8947","title":"MLOPS - Machine Learning Operations Engineer","description":"MLOPS - Machine Learning Operations Engineer\r\nAbout the job\r\nPriority 1\r\nPosition: MLOPS - Machine Learning Operations Engineer\r\nLocation: 100% REMOTE\r\nDuration: Long term contract on C2C\r\nTargeted Years of Experience: 3-5 years\r\nThe MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine learning models. They will work with data scientists and engineers to automate the process of training, testing, and deploying models. They will also monitor the performance of the models in production and troubleshoot issues as needed. In this role, you will have the opportunity to work with some of the latest technologies and tools to build scalable and reliable systems. If you are passionate about DevOps and machine learning, this is the role for you!\r\nResponsibilities\r\nCreating, deploying, and monitoring AI/ML pipelines\r\nCreate and maintain the MLOps production infrastructure and services.\r\nDrive software development methods such as code profiling, regression testing, continuous integration, and push button deployments.\r\nDevelop/maintain processes, tools, and documentation to support production.\r\nEnsure adequate infrastructure security.\r\nAddress production issues.\r\nAssist in the evaluation of new software, hardware, and infrastructure solutions.\r\nExperience with a variety of scripting languages for automating tasks, generating reports, and creating tools (e.g. Python, Shell, SQL)\r\nMust Have Skills (Most Important)\r\n5+ years of experience in CI/CD, ML Pipelines, and Python\r\n3+ years of experience in Big Data, such as Teradata and Bigquery\r\nDesired Skills\r\nExperience with a public cloud provider, such as AWS, Azure, or GCP\r\nExperience with containerization, such as Docker or Kubernetes\r\nEducation/Certifications\r\nB.S. in Computer Science or related field.\r\nJ-18808-Ljbffr","company":"Rapinno Tech","rawCompany":"rapinno tech","city":"Oregon","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-04-09T07:58:18.197Z","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":"MLOPS - Machine Learning Operations Engineer","description":"MLOPS - Machine Learning Operations Engineer\r\nAbout the job\r\nPriority 1\r\nPosition: MLOPS - Machine Learning Operations Engineer\r\nLocation: 100% REMOTE\r\nDuration: Long term contract on C2C\r\nTargeted Years of Experience: 3-5 years\r\nThe MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine learning models. They will work with data scientists and engineers to automate the process of training, testing, and deploying models. They will also monitor the performance of the models in production and troubleshoot issues as needed. In this role, you will have the opportunity to work with some of the latest technologies and tools to build scalable and reliable systems. If you are passionate about DevOps and machine learning, this is the role for you!\r\nResponsibilities\r\nCreating, deploying, and monitoring AI/ML pipelines\r\nCreate and maintain the MLOps production infrastructure and services.\r\nDrive software development methods such as code profiling, regression testing, continuous integration, and push button deployments.\r\nDevelop/maintain processes, tools, and documentation to support production.\r\nEnsure adequate infrastructure security.\r\nAddress production issues.\r\nAssist in the evaluation of new software, hardware, and infrastructure solutions.\r\nExperience with a variety of scripting languages for automating tasks, generating reports, and creating tools (e.g. Python, Shell, SQL)\r\nMust Have Skills (Most Important)\r\n5+ years of experience in CI/CD, ML Pipelines, and Python\r\n3+ years of experience in Big Data, such as Teradata and Bigquery\r\nDesired Skills\r\nExperience with a public cloud provider, such as AWS, Azure, or GCP\r\nExperience with containerization, such as Docker or Kubernetes\r\nEducation/Certifications\r\nB.S. in Computer Science or related field.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T07:58:18.197Z","dateModified":"2026-04-09T07:58:18.197Z","hiringOrganization":{"@type":"Organization","name":"Rapinno Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oregon","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"664a3cfabaf7e97fb50b8947"},"url":"https://jobsearcher.com/jobs/664a3cfabaf7e97fb50b8947"}}