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Senior ML Engineer (Python) at Proxify. Location Information: CET (+/- 3 hours). 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 experiences. .  . . What 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.. . Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.. . .  . . 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 played. . No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. . Predictable project hours. . Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.. . Flex days, so you can recharge. . Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.. . Career-accelerating positions at cutting-edge companies. . Discover exclusive long-term remote positions at the world's most exciting companies.. . Hand-picked opportunities just for you. . Skip the typical recruitment roadblocks and biases with personally matched positions.. . One seamless process, multiple opportunities. . A one-time contracting process for endless opportunities, with no extra assessments.. . Compensation. . Enjoy the same pay, every month with positions landed through Proxify.