{"schemaVersion":"jobsearcher.job.v1","id":"5f7421ab38cc93df2087e3fa","url":"https://jobsearcher.com/jobs/5f7421ab38cc93df2087e3fa","canonicalUrl":"https://jobsearcher.com/jobs/5f7421ab38cc93df2087e3fa","title":"Machine Learning Engineer / AI Engineer","description":"Title: Machine Learning Engineer / AI Engineer\r\nJob Type: Contract\r\nContract Length: 12 Months\r\nPay Range: $50/hr – $175/hr\r\nStart Date: ASAP\r\nLocation: Remote\r\nAbout the Opportunity\r\nOur client, a leader in the AI Testing Industry, is looking for a skilled Machine Learning Engineer / AI Engineer to join their team for a 12-month engagement. This project involves developing, deploying, and optimizing machine learning models to improve performance on domain-specific datasets and integrating them into production applications. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.\r\nKey Responsibilities & Deliverables\r\nDeveloping and fine-tuning machine learning models to improve performance on domain-specific datasets.\r\nIntegrating AI models into production applications via scalable REST or gRPC APIs.\r\nImplementing data preprocessing and feature engineering pipelines to ensure high-quality model inputs.\r\nMonitoring model performance in production and executing retraining loops to combat model drift.\r\nTroubleshooting performance bottlenecks in the model inference path to minimize latency for end-users.\r\nRequired Skills & Experience\r\n4+ years of experience in Machine Learning or Software Engineering.\r\nDeep expertise in Python, PyTorch/TensorFlow, and scikit-learn. This isn't a learning role—you need to be a subject-matter expert.\r\nDemonstrated ability to work autonomously and manage your own time effectively to meet project goals.\r\nExperience with Docker, Kubernetes, and cloud-based ML platforms (SageMaker, Vertex AI).\r\nStrong communication skills to provide clear and concise status updates to the project team.\r\nJ-18808-Ljbffr","company":"DeWinter Group","rawCompany":"dewinter group","city":"Campbell","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:16:34.256Z","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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer / AI Engineer","description":"Title: Machine Learning Engineer / AI Engineer\r\nJob Type: Contract\r\nContract Length: 12 Months\r\nPay Range: $50/hr – $175/hr\r\nStart Date: ASAP\r\nLocation: Remote\r\nAbout the Opportunity\r\nOur client, a leader in the AI Testing Industry, is looking for a skilled Machine Learning Engineer / AI Engineer to join their team for a 12-month engagement. This project involves developing, deploying, and optimizing machine learning models to improve performance on domain-specific datasets and integrating them into production applications. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.\r\nKey Responsibilities & Deliverables\r\nDeveloping and fine-tuning machine learning models to improve performance on domain-specific datasets.\r\nIntegrating AI models into production applications via scalable REST or gRPC APIs.\r\nImplementing data preprocessing and feature engineering pipelines to ensure high-quality model inputs.\r\nMonitoring model performance in production and executing retraining loops to combat model drift.\r\nTroubleshooting performance bottlenecks in the model inference path to minimize latency for end-users.\r\nRequired Skills & Experience\r\n4+ years of experience in Machine Learning or Software Engineering.\r\nDeep expertise in Python, PyTorch/TensorFlow, and scikit-learn. This isn't a learning role—you need to be a subject-matter expert.\r\nDemonstrated ability to work autonomously and manage your own time effectively to meet project goals.\r\nExperience with Docker, Kubernetes, and cloud-based ML platforms (SageMaker, Vertex AI).\r\nStrong communication skills to provide clear and concise status updates to the project team.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:16:34.256Z","dateModified":"2026-06-25T01:16:34.256Z","hiringOrganization":{"@type":"Organization","name":"DeWinter Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Campbell","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5f7421ab38cc93df2087e3fa"},"url":"https://jobsearcher.com/jobs/5f7421ab38cc93df2087e3fa"}}