Senior ML Engineer (Python)

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.

Tech Stack