Senior Machine Learning Engineer

Join a well-known global consumer brand as a Senior Machine Learning Engineer and turn data into impact across the entire value chain. You will be responsible for building Proofs of Concept, taking models into production, and ensuring their ongoing performance in areas such as demand forecasting, predictive customer lifetime value, and process optimization.

Key responsibilities

• Own the full ML lifecycle, from problem framing and prototyping to deployment and monitoring.
• Design and improve reliable, reproducible data pipelines.
• Connect ML systems with enterprise data sources such as PLM, ERP, and o9.
• Drive 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

• 5+ years of 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 like scikit-learn, TensorFlow, PyTorch, or Spark MLlib.
• Strong SQL skills and experience with cloud platforms, preferably Azure.
• Familiarity with Databricks, Snowflake, Spark, Docker, and Kubernetes.

What we offer

• Fully remote work environment on a full-time B2B contract.
• Opportunity to work with an international team and a major global brand.
• Long-term project engagement with a strong potential for extension.