IA ingénieur H/F

Job description

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Responsibilities

Modélisation IA/ML

Très bonne connaissance des approches supervisées, non supervisées ML et Deep learning, o IA Generative: RAG, Fine-tunning, Reasoning Pattern (CoT, ReAct, TAO)

• Systèmes d’Agents et Multi-Agents, orchestration, monitoring
• Gestion des feedbacks (HITL) Maîtrise de Python et des outils de data science. La connaissance des framework JavaScript basique et du SQL serait un plus Framework Python :

Très bonne connaissance des librairies

• Scikit learn, LangChain, LangGraph, Pandas, Tensorflow, PyTorch, Transformers

Très bonne connaissance des outils

• UV, Venv, Jupyter Lab, VScode (ou équivalent)

Connaissances MLOps / DevOps

Docker, Kubernetes, Airflow, Artifactory, ML Flows, Hugging Face, MCP- A2A, API. Connaissance de l’architecture cloud (AWS ou GCP) et connaissance des modules IA associés (comme Bedrock, AgentCore, Sagemaker, Lambdas pour AWS)

Data

SQL et NoSQL, bases vectorielles comme Redis ou OpenSearch. Connaissance des bases orientées graphes. La majorité des postes est éligible au télétravail dans les conditions prévues par notre accord reposant sur le double volontariat (collaborateur & manager) et après une période d’intégration réussie. Crédit Agricole CIB s’engage en faveur de l’insertion des personnes en situation de handicap, ainsi ce poste est ouvert à toutes et à tous.

Qualifications

Postgraduate degree – MA/MSc/PhD/Doctorate or equivalent