3 days ago
Créteil, FranceMid Level
Responsibilities
- Design, develop, and optimize scalable data pipelines that feed AI and machine learning models.
- Implement performant data architectures including data lakes, data warehouses, and real-time systems.
- Prepare, transform, and validate data in collaboration with AI teams to ensure quality and availability.
- Ensure the security, compliance, and governance of data used for model training.
- Automate data flows and contribute to AI model deployment through MLOps pipelines and CI/CD processes.
- Collaborate with Data, Business, AI, and data science teams across varied initiatives.
Requirements
- Master’s-level or engineering-school education in computer science, data engineering, artificial intelligence, data science, or an equivalent field.
- Experience designing, developing, and maintaining data pipelines and transforming data at scale.
- Experience collaborating with Data, Business, and AI teams.
- Experience with cloud environments, ideally Google Cloud Platform; Amazon Web Services experience is an advantage.
- Comfort coding and putting Data/AI solutions into production.
- Fluent English for collaboration with international teams.
Benefits
- Employee share ownership plan and Action Logement benefits.
- Company social and economic committee (CSE).
- Partial telework possible, up to two days per week.
- Company restaurant.
- Opportunities for national and international mobility and career growth.
- Full-time, regular employment with an undefined-term contract.
Tech Stack
Categories
Data Engineering
About Valeo
Valeo designs and manufactures automotive systems and software for global automakers and the aftermarket, including ADAS perception sensors, domain controllers, lighting, thermal management, and electrified powertrain components. The company generates revenue by supplying Tier-1 components and selling replacement parts through its aftermarket network. Founded in 1923 and headquartered in Paris, it is a public company listed on Euronext Paris (EPA) with operations across major vehicle markets.