Machine learning engineer in distributed cloud

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B.

• Design and implement end-to-end ML pipelines for training, testing, and deployment.
• Build and maintain automated pipelines (CI/CD for ML) to ensure seamless model versioning and lifecycle management.
• Fine-tune model performance and ensure efficient inference at scale.
• Implement observability to track model drift, performance metrics, and system reliability in production.
• Work closely with Data Scientists to translate mathematical models into high-quality, production-grade code.

• 3+ years of professional experience as an ML Engineer or Backend Engineer with a focus on Machine Learning.
• Strong expertise in Python and solid software engineering principles (OOP, Clean Code).
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in SQL and experience working with large-scale datasets and data warehousing.
• Familiarity with tools like MLflow, Kubeflow, or DVC for model tracking and orchestration.
• Experience with Cloud platforms (AWS, GCP, or Azure) and containerization using Docker.
• Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• Professional level of English (written and spoken).

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