Stage de fin d’études — MLOps & IA en production : fiabilisation, optimisation et scalabilité des modèles (H/F)
Core
Build and scale production MLOps/LLMOps pipelines, monitoring, and cost optimization for industrialized AI systems.
Role type
Junior IC MLOps engineer (intern)
Builds
Production-ready AI/ML platforms and multi-agent systems for enterprise clients
Domain
Consulting, Data & AI Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Git, containerization, CI/CD pipelines, cloud environments, inference cost analysis
Preferred skills
LLMOps best practices, observability, incident management, FinOps for AI
Technologies
Microsoft Fabric, Mistral, Databricks, Dataiku, AWS, Google, Anthropic
Responsibilities
Implement model deployment and industrialization pipelines, build monitoring and tracing systems, automate testing and incident management, optimize inference costs, formalize LLMOps practices
Seniority
Junior, hands-on IC
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