Data Engineer Nantes
Core
Transforming an AI industrialization solution into new software for a major banking client by building data pipelines, annotating customer verbatims, and deploying ML models.
Role type
Senior Data Engineer (AI/ML focus)
Builds
Robust inference pipelines, annotated training datasets, and production-ready AI solutions for banking clients.
Domain
Banking / Artificial Intelligence / Natural Language Processing
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, Kafka, Docker, Airflow, MLflow, RESTful APIs, DevOps practices
Preferred skills
Experience with AI industrialization, POCs, or improving existing solutions under SLA constraints
Technologies
Python, Poetry, FastApi, Spark, SQL, Cassandra, PostgreSQL, Kafka, GitLab CI, Docker, Airflow, MLflow, Conda
Responsibilities
Collaborate with business teams to define functional specifications for AI solutions; Create annotation samples and define rules for customer verbatim classification; Develop and optimize ML inference pipelines for production integration; Monitor model reliability and address biases or drifts over time; Document all project stages to ensure traceability and reproducibility.
Seniority
Senior, hands-on IC