Stage - Data Engineer (F/H)
Core
Industrialize and monitor AI/ML solutions (Machine Learning, generative AI, agents, RAG) to improve the daily work of 72,000 bank advisors and employees.
Role type
Junior Data Engineer (Intern)
Builds
AI/ML pipelines, RAG solutions, and industrialized prediction chains for banking clients.
Domain
Banking / Artificial Intelligence / Data Engineering
Deliverable
production ML models
Required skills
Python (pandas, PySpark, scikit-learn, FastAPI), SQL (Teradata, MySQL, PostgreSQL), Docker, Kubernetes, Linux, GitLab CI, ELK stack
Preferred skills
Experience with RAG, LLM evaluation, and MLOps/LLMOps
Technologies
Python, PySpark, scikit-learn, FastAPI, Teradata, MySQL, PostgreSQL, Docker, Kubernetes, Linux, GitLab CI, Elasticsearch, Kibana
Responsibilities
Build preprocessing pipelines from various ecosystem flows, participate in ML model modeling and validation, evaluate LLM response quality, develop and industrialize AI agents, build RAG solutions, expose prediction chains via APIs, implement monitoring for models and agents.
Seniority
Intern (6 months)