Stage de fin d'études - Consultant·e Agentic & GenAI Engineer (H/F)
Tasks
- Build RAG pipelines
- Build low-code AI solutions
- Deploy GenAI platforms to cloud
- Deploy GenAI solutions
- Design GenAI solutions
- Develop AI agents in Python
- Ensure AI security and governance
- Implement LLMOps
- Implement MCPOps
- Implement MLOps
- Monitor and observe AI systems
- Orchestrate multi-agent systems
- Perform AI technology research
- Set up CI CD for ML
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Azure | CI/CD | Data Lake | Data Lakehouse | Data Quality | Data Security | Embeddings | GCP | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | RGPD | Retrieval-Augmented Generation | Semantic Kernel | Vector Database
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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