- Company Name
- Danone
- Job Title
- ALTERNANCE - Clinical and Health AI & Data Engineer - Septembre 2026 - (H/F)
- Job Description
-
**Job Title:** Clinical and Health AI & Data Engineer (Apprenticeship)
**Role Summary:**
Support the development of high‑quality, reliable data pipelines and AI agent frameworks for health and nutrition use cases. Build and maintain MLOps pipelines, collaborate with data architects and scientists, and deliver analytical tools and GenAI workflows in a Cloud environment.
**Expectations:**
- Begin work in September 2026 for a one‑year apprenticeship.
- Proactive, autonomous, and collaborative in a scientific setting.
- English proficiency at least B2 level.
**Key Responsibilities:**
1. Design, develop, and maintain robust data pipelines for high‑quality, business‑ready data.
2. Build and optimise AI agent frameworks (planning, tool calls, memory, feedback loops) for health domain scenarios.
3. Implement end‑to‑end MLOps pipelines to support ML model development and deployment.
4. Translate business requirements into technical deliverables in partnership with architects, analysts, and scientists.
5. Develop and optimise Snowflake data models ensuring performance and scalability.
6. Automate data ingestion, transformation, and orchestration workflows using Azure Databricks, Azure Data Factory, and Azure Data Lake.
7. Apply CI/CD, infrastructure‑as‑code, and data‑ops best practices.
8. Create analytical dashboards and decision‑support tools with PowerBI, Streamlit, or Plotly Dash.
9. Deploy GenAI, Retrieval‑Augmented Generation (RAG), and agentic AI pipelines alongside AI workflow teams.
10. Validate, monitor, and document data quality, observability, and compliance.
**Required Skills:**
- Proficiency in Python, R, and SQL.
- Experience with Azure services (Databricks, Data Factory, Data Lake) and Snowflake.
- MLOps expertise (model training, deployment, monitoring).
- CI/CD and infrastructure‑as‑code implementation.
- Data ops and pipeline engineering.
- Familiarity with PowerBI, Streamlit, and Plotly Dash.
- Understanding of agentic AI concepts (planning, tool integration, memory management, feedback loops).
- English communication skills (minimum B2).
**Required Education & Certifications:**
- Enrolled in or completed a degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- Equivalent practical experience or apprenticeship in data engineering/ML.
- Azure Data Engineer Associate or related certification is a plus.