{"schemaVersion":"jobsearcher.job.v1","id":"e2ef4f1d7c56aba134f8e8a9","url":"https://jobsearcher.com/jobs/e2ef4f1d7c56aba134f8e8a9","canonicalUrl":"https://jobsearcher.com/jobs/e2ef4f1d7c56aba134f8e8a9","title":"Senior Machine Learning Engineer","description":"Job Description: Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.\r\nBuild and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.\r\nOwn and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.\r\nDevelop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.\r\nCollaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.\r\nApply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.\r\nWrite robust, production-ready code following engineering best practices; participate in code and design reviews.\r\nLeverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.\r\nMentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.\r\nSupport integration of frontend components into ML-powered features where applicable.\r\nContribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.\r\nAdhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.\r\nMaintain compliance with Inovalon's policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.\r\nRequirements: Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.\r\nExpert-level Python proficiency; Python is the team's primary language and is the highest-priority technical requirement.\r\nHands-on experience building and deploying classical ML models in production using scikit-learn.\r\nDemonstrated experience with generative AI, LLMs, or agentic application development.\r\nProficiency with PyTorch and neural network architectures.\r\nPractical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.\r\nAWS cloud experience, including deploying and managing cloud-native workloads.\r\nContainerization experience with Docker and/or Kubernetes.\r\nStrong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.\r\nDaily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.\r\nBenefits: health insurance\r\nlife insurance\r\ncompany-paid disability\r\n401k\r\n18+ days of paid time off","company":"Remote Rocketship","rawCompany":"remoterocketship","city":"Spring Hill","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-05-14T03:49:26.450Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Job Description: Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.\r\nBuild and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.\r\nOwn and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.\r\nDevelop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.\r\nCollaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.\r\nApply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.\r\nWrite robust, production-ready code following engineering best practices; participate in code and design reviews.\r\nLeverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.\r\nMentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.\r\nSupport integration of frontend components into ML-powered features where applicable.\r\nContribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.\r\nAdhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.\r\nMaintain compliance with Inovalon's policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.\r\nRequirements: Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.\r\nExpert-level Python proficiency; Python is the team's primary language and is the highest-priority technical requirement.\r\nHands-on experience building and deploying classical ML models in production using scikit-learn.\r\nDemonstrated experience with generative AI, LLMs, or agentic application development.\r\nProficiency with PyTorch and neural network architectures.\r\nPractical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.\r\nAWS cloud experience, including deploying and managing cloud-native workloads.\r\nContainerization experience with Docker and/or Kubernetes.\r\nStrong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.\r\nDaily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.\r\nBenefits: health insurance\r\nlife insurance\r\ncompany-paid disability\r\n401k\r\n18+ days of paid time off","datePosted":"2026-05-14T03:49:26.450Z","dateModified":"2026-05-14T03:49:26.450Z","hiringOrganization":{"@type":"Organization","name":"Remote Rocketship","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spring Hill","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2ef4f1d7c56aba134f8e8a9"},"url":"https://jobsearcher.com/jobs/e2ef4f1d7c56aba134f8e8a9"}}