Machine Learning Engineer

About the role

We are looking for a seasoned Machine Learning Engineer to adapt, deploy, and maintain advanced ML models within our data platform. The role involves close collaboration with data scientists and product teams to deliver reliable, production‑grade pipelines.

Key responsibilities

• Adapt and deploy existing machine learning models into production environments.
• Integrate processing pipelines into Airflow and expose them through APIs.
• Prepare and transform data stored in MinIO and PostgreSQL.
• Optimize PySpark code for generating monthly alerts.
• Manage dependencies, sequences, and stages within ML workflows.

Required profile

• 5+ years of experience in data engineering, ML engineering, or related fields.
• Degree in Information Technology, Software Engineering, Data Science, or a related discipline.
• Fluent in French and English for international collaboration.

Required skills

• Strong proficiency in PySpark and code optimization.
• Experience with Airflow for workflow orchestration.
• Good understanding of PostgreSQL databases.
• Familiarity with MinIO object storage.
• Version control using GitLab.
• Working knowledge of Jupyter notebooks.
• Exposure to MLFlow for model tracking.

What we offer

• Competitive salary and benefits package.
• Opportunities for continuous learning and professional growth.
• Collaborative and inclusive work environment.
• Exposure to cutting‑edge technologies and innovative projects.
• Supportive leadership and career development programs.