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.