Machine Learning Engineer

Main mission

Develops and deploys machine learning models.

5 key responsibilities

• Prepare and transform training data with data teams.
• Develop, train, and evaluate machine learning models.
• Industrialize models: transition from notebook to production.
• Measure model performance in production and detect drifts.
• Document modeling choices and transfer knowledge to the team.

Key skills

PyTorch, TensorFlow, Scikit-learn, Python, MLOps tools, statistics and model evaluation.

What's expected

Models that are accurate, stable, and maintainable. The ability to arbitrate between theoretical performance and production constraints.

Career paths

MLOps Engineer, AI Research Scientist, AI Solutions Architect, ML Lead.