emagine Polska is looking for a Senior Machine Learning Engineer to join an international team working for a global consumer brand. You will have the opportunity to turn data into business impact by building and deploying models that drive decision-making across the entire value chain.
Key responsibilities
- Own the full ML lifecycle, from problem framing and prototyping to deployment and monitoring.
- Design and improve reliable, reproducible data pipelines.
- Integrate ML systems with enterprise data sources such as PLM, ERP, and o9.
- Implement MLOps best practices, including CI/CD for ML, automated retraining, and system monitoring.
- Collaborate with data scientists, engineers, and business stakeholders to translate goals into effective ML solutions.
Requirements
- Over 5 years of professional experience in Machine Learning Engineering, Data Science, or Applied ML.
- Proven track record of deploying ML models at scale in production environments.
- Advanced proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or Spark MLlib.
- Strong SQL skills and experience with cloud platforms, preferably Azure.
- Familiarity with Docker, Kubernetes, and MLOps tools.
What we offer
- Fully remote work on a long-term B2B contract.
- Opportunity to work with a major global brand on high-impact projects like demand forecasting and process optimization.
- Collaboration within an international, professional team environment.