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

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).

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.