{"schemaVersion":"jobsearcher.job.v1","id":"d9b7b6df45de6f2804706bc3","url":"https://jobsearcher.com/jobs/d9b7b6df45de6f2804706bc3","canonicalUrl":"https://jobsearcher.com/jobs/d9b7b6df45de6f2804706bc3","title":"Senior ML Engineer (Python)","description":"About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.The Role:We are looking for Machine Learning Engineers with strong Python experience to join our fast-growing Network. You will play a key role in designing and deploying machine learning solutions that power modern applications and enhance user experiencesWhat we are looking for:Proven track record in building and deploying machine learning models to production.Strong Python programming skills (experience with R or Java is a plus). Python is your primary working language, and you are comfortable using it across the full ML lifecycle.Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras).Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, GCP, or Azure).Solid knowledge of statistics, data analysis, and data mining techniques.Experience with databases, data warehouses, and large-scale datasets.Responsibilities:Design and maintain scalable, reliable data pipelines and monitor models in production.Develop and optimize classification, prediction, and recommendation models applied to real-world business problems.Research and integrate new data sources to enhance model performance and accuracy.Collaborate with software engineers, product teams, analysts, and other stakeholders to improve product performance.Write production-grade code for cloud and on-premise environments, ensuring scalability and robustness.Contribute to MLOps practices, including CI/CD for ML, monitoring, and model lifecycle management.What we offer:Get paid, not playedNo more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal optionsPredictable project hoursEnjoy a harmonious work-life balance with consistent 8-hour working days with clients.Flex days, so you can rechargeEnjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.Career-accelerating positions at cutting-edge companiesDiscover exclusive long-term remote positions at the world's most exciting companies.Hand-picked opportunities just for youSkip the typical recruitment roadblocks and biases with personally matched positions.One seamless process, multiple opportunitiesA one-time contracting process for endless opportunities, with no extra assessments.CompensationEnjoy the same pay, every month with positions landed through Proxify.","company":"Proxify","rawCompany":"proxify","city":"Northern Cambria","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T17:25:53.264Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"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":"561320","title":"Temporary Help Services","slug":"temporary-help-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior ML Engineer (Python)","description":"About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.The Role:We are looking for Machine Learning Engineers with strong Python experience to join our fast-growing Network. You will play a key role in designing and deploying machine learning solutions that power modern applications and enhance user experiencesWhat we are looking for:Proven track record in building and deploying machine learning models to production.Strong Python programming skills (experience with R or Java is a plus). Python is your primary working language, and you are comfortable using it across the full ML lifecycle.Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras).Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, GCP, or Azure).Solid knowledge of statistics, data analysis, and data mining techniques.Experience with databases, data warehouses, and large-scale datasets.Responsibilities:Design and maintain scalable, reliable data pipelines and monitor models in production.Develop and optimize classification, prediction, and recommendation models applied to real-world business problems.Research and integrate new data sources to enhance model performance and accuracy.Collaborate with software engineers, product teams, analysts, and other stakeholders to improve product performance.Write production-grade code for cloud and on-premise environments, ensuring scalability and robustness.Contribute to MLOps practices, including CI/CD for ML, monitoring, and model lifecycle management.What we offer:Get paid, not playedNo more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal optionsPredictable project hoursEnjoy a harmonious work-life balance with consistent 8-hour working days with clients.Flex days, so you can rechargeEnjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.Career-accelerating positions at cutting-edge companiesDiscover exclusive long-term remote positions at the world's most exciting companies.Hand-picked opportunities just for youSkip the typical recruitment roadblocks and biases with personally matched positions.One seamless process, multiple opportunitiesA one-time contracting process for endless opportunities, with no extra assessments.CompensationEnjoy the same pay, every month with positions landed through Proxify.","datePosted":"2026-04-12T17:25:53.264Z","dateModified":"2026-04-12T17:25:53.264Z","hiringOrganization":{"@type":"Organization","name":"Proxify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Northern Cambria","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d9b7b6df45de6f2804706bc3"},"url":"https://jobsearcher.com/jobs/d9b7b6df45de6f2804706bc3"}}