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Salary
$45k – $51k per year
Location
Hybrid (France)
Seniority
Senior · 5+ years exp
Employment
Freelance

First seen by Alion on Sep 8, 2026.

Overview
Company
Impact
Profile match
Catamania (Cat-Amania) is a French digital services and IT consulting group that delivers application development, data engineering, project management and cybersecurity work for large corporate clients in banking, insurance and industry. It runs regional agencies in cities such as Paris, Niort, Lyon, Le Mans, Bordeaux, Tours, Lille, Montpellier and Brest, alongside its Umania and Innovia R&D units, and recruits data engineers, Java and Angular developers, application architects, business analysts and PMOs. The company is headquartered in Saint-Herblain near Nantes, France.

Data Scientist confirmé(e) pour reprendre et poursuivre un projet d'IA Générative à fort impact : le développement d'une solution capable de générer des pré-réponses aux e-mails des adhérents (demandes, réclamations, actes de gestion).

Vos missions :

  • Reprise et continuité d'un projet IA Générative existant

  • Conception, entraînement et optimisation de LLM (Gemini/Vertex AI, Mistral)

  • Optimisation d'un pipeline RAG en production (PGVector)

  • Mise en œuvre de bonnes pratiques MLOps/LLMOps (CI/CD IA, monitoring, industrialisation)

  • Déploiement sur environnement Cloud (Cloud Run)

  • Collaboration étroite avec les équipes techniques, Product Owners et architectes

Profil recherché :

  • 5 ans d'expérience minimum en Data Science, dont une expérience significative en IA Générative/NLP

  • Python avancé (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Hugging Face)

  • Langchain/Langgraph, MLOps/LLMOps en production, PGVector

  • Expérience Gemini/Vertex AI et/ou Mistral appréciée

  • Autonomie, capacité à reprendre un existant rapidement, esprit d'analyse

  • Une première expérience secteur assurance/mutuelle est un plus

Poste basé en environnement sécurisé, méthodologie Agile, documentation en français.

Profil recherché

Profil recherché :

  • 5 ans d'expérience minimum en Data Science, dont une expérience significative en IA Générative/NLP

  • Python avancé (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Hugging Face)

  • Langchain/Langgraph, MLOps/LLMOps en production, PGVector

  • Expérience Gemini/Vertex AI et/ou Mistral appréciée

  • Autonomie, capacité à reprendre un existant rapidement, esprit d'analyse

  • Une première expérience secteur assurance/mutuelle est un plus

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