Description
The role involves adapting and deploying machine learning models, integrating processing pipelines with Airflow and APIs, preparing and transforming data in MinIO and PostgreSQL, optimizing PySpark code for monthly alerts, and managing dependencies, sequences, and stages in ML workflows. It requires 5+ years of experience in data engineering, machine learning engineering, or a related field, along with proficiency in PySpark, Airflow, PostgreSQL, MinIO, GitLab, and Jupyter, plus fluency in French and English.
