Data/AI Engineer Industrialisation & MLOps IA H/F

Job summary

Data/AI Engineer responsible for industrializing AI models, data engineering for AI, and implementing MLOps practices.

Qualifications

• Significant experience in deploying an AI model
• Proven experience in Data Engineering, Software Engineering, or MLOps
• Mastery of CI/CD, packaging, deployment, monitoring, and operation in cloud or secure environments
• Ability to collaborate with multidisciplinary teams
• Experience in regulated environments or with high security requirements is preferred

Responsibilities

• Support projects from experimentation to production
• Design industrialization chains for model deployment
• Build reproducible, secure, and automated processes
• Ensure collaboration between Data Scientists, platform teams, and business units
• Contribute to data flow quality, traceability, and security
• Implement best practices for ML, generative AI, RAG, and agent systems
• Create CI/CD pipelines and automate technical deliverables
• Diagnose incidents and improve solutions
• Document architectures and operating procedures
• Share best practices with teams

Skills

Degrees

Relocation