Machine Learning Engineer

About the job

Key Responsibilities:

• Adapt and deploy existing machine learning (ML) models.

• Integrate processing pipelines into Airflow and through APIs (Investigation Center interface).

• Prepare and transform data stored in MinIO and PostgreSQL.

• Optimize PySpark code for generating monthly alerts.

• Manage dependencies, sequences, and stages within ML workflows.

Technical Environment:

• Technologies: Airflow, GitLab, PySpark

• Nice-to-have Technologies: MinIO, PostgreSQL, Jupyter, MLFlow

Benefits:

• Competitive salary and benefits package.

• Opportunities for continuous learning and professional growth.

• A collaborative and inclusive work environment.

• Exposure to cutting-edge technologies and innovative projects.

• Supportive leadership and career development programs.

Required Skills and Qualifications:

• 5+ years of experience in data engineering, ML Engineer or related roles.

• Degree holder – Information Technology, Software Engineering, Data Science or any other related courses

• Strong proficiency in PySpark and code optimization.

• Knowledge of ML workflows, including the ability to manage dependencies and sequencing, as well as Airflow pipelines.

• Good understanding of PostgreSQL databases and MinIO object storage.

• Familiarity with GitLab and Jupyter.

• Fluent in French and English (for international collaboration and communication).