Consultant.e.s - Stage de fin d'études - Nantes - CIO - Intelligence artificielle : comment choisir son architecture RAG ?
Core
Research and evaluate Retrieval Augmented Generation (RAG) architectures to define selection criteria for the consulting firm's AI advisory services.
Role type
Junior Data & AI Researcher (Intern)
Builds
Internal knowledge base and architectural recommendations for GenAI solutions
Domain
Artificial Intelligence / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Data & AI fundamentals, Business case understanding, Data & AI governance, Business analysis, ROI & KPIs
Preferred skills
Academic or internship experience in Data/AI, AI governance/regulation awareness, Project management
Technologies
GCP, AWS, Azure, LLMs, RAG architectures
Responsibilities
Define evaluation criteria for RAG architectures (cost, performance, implementation ease), Evaluate different RAG architectures via cloud tests, Provide architectural recommendations for common use cases, Document deployed architectures for internal use
Seniority
Intern
