{"schemaVersion":"jobsearcher.job.v1","id":"fc3ee8a8b53634f0a9c36588","url":"https://jobsearcher.com/jobs/fc3ee8a8b53634f0a9c36588","canonicalUrl":"https://jobsearcher.com/jobs/fc3ee8a8b53634f0a9c36588","title":"MLOps Engineer - W2 Only","description":"MLOps Engineer\nLocation: Hybrid in McLean, VA (preferred), OR New York City\nRole Overview\nWe are seeking an MLOps Engineer to join a team focused on machine learning technology. This role involves the maintenance and development of ML serving pipelines. The engineer will collaborate with Data Science teams on various projects, including training pipelines and feature engineering. The position requires a hybrid on-site presence in either McLean, VA, or New York, NY.\nKey Responsibilities\nMaintain and develop ML serving pipelines using Kubeflow, Spark, and Python.\nCollaborate with Data Science teams on training pipelines and feature engineering.\nDevelop features, deploy applications, perform testing, and implement vulnerability fixes.\nDebug and provide support for production ML pipelines and CI/CD workflows.\nSupport integration efforts across various groups and the enterprise.\nBuild, train, and deploy machine learning models.\nSupport models related to credit card decisioning, fraud tracking, and risk assessment.\nRequired Qualifications\nExperience with MLOps and ML tooling.\nProficiency in Python.\nKnowledge of Kubernetes and AWS.\nExperience with Kubeflow or equivalent workflow tools.\nFamiliarity with Spark, pandas, and NumPy.\nPreferred Qualifications\nExperience with SQL and data analysis.\nFamiliarity with Databricks.\nKnowledge of additional ML tooling, such as mlplot.\nUnderstanding of DevOps concepts, including Jenkins and CI/CD pipelines.\nAn AWS Solution Architect Certification is considered an asset.\nPay: $65.00 - $70.00 per hour\nApplication Question(s):\nWhat is your current location?\nWhat is your visa status?\nWork Location: Hybrid remote in McLean, VA 22103","company":"Evolve Solutions","rawCompany":"evolve solutions","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T16:08:20.562Z","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":"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 Engineer - W2 Only","description":"MLOps Engineer\nLocation: Hybrid in McLean, VA (preferred), OR New York City\nRole Overview\nWe are seeking an MLOps Engineer to join a team focused on machine learning technology. This role involves the maintenance and development of ML serving pipelines. The engineer will collaborate with Data Science teams on various projects, including training pipelines and feature engineering. The position requires a hybrid on-site presence in either McLean, VA, or New York, NY.\nKey Responsibilities\nMaintain and develop ML serving pipelines using Kubeflow, Spark, and Python.\nCollaborate with Data Science teams on training pipelines and feature engineering.\nDevelop features, deploy applications, perform testing, and implement vulnerability fixes.\nDebug and provide support for production ML pipelines and CI/CD workflows.\nSupport integration efforts across various groups and the enterprise.\nBuild, train, and deploy machine learning models.\nSupport models related to credit card decisioning, fraud tracking, and risk assessment.\nRequired Qualifications\nExperience with MLOps and ML tooling.\nProficiency in Python.\nKnowledge of Kubernetes and AWS.\nExperience with Kubeflow or equivalent workflow tools.\nFamiliarity with Spark, pandas, and NumPy.\nPreferred Qualifications\nExperience with SQL and data analysis.\nFamiliarity with Databricks.\nKnowledge of additional ML tooling, such as mlplot.\nUnderstanding of DevOps concepts, including Jenkins and CI/CD pipelines.\nAn AWS Solution Architect Certification is considered an asset.\nPay: $65.00 - $70.00 per hour\nApplication Question(s):\nWhat is your current location?\nWhat is your visa status?\nWork Location: Hybrid remote in McLean, VA 22103","datePosted":"2026-08-11T16:08:20.562Z","dateModified":"2026-08-11T16:08:20.562Z","hiringOrganization":{"@type":"Organization","name":"Evolve Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc3ee8a8b53634f0a9c36588"},"url":"https://jobsearcher.com/jobs/fc3ee8a8b53634f0a9c36588"}}