Senior ML Engineer (Python)

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

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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.

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Compensation

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