{"id":2022151,"url":"https://alion.io/job/datamed-research-data-scientist-data-engineer-ia-agentique","title":"Data Scientist / Data Engineer – IA Agentique","company":{"id":3908530,"name":"Datamed Research","domain":"consultingdatamed.com","url":"https://alion.io/company/datamed-research","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-08T14:02:31Z","employer_posted_date":null,"last_verified_at":"2026-09-08T14:02:31Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Dans le cadre du renforcement d’une équipe Data & IA, nous recherchons un Data Scientist / Data Engineer expérimenté, spécialisé en Intelligence Artificielle Générative, afin d’assurer la continuité et l’évolution de projets stratégiques.\nLe consultant intégrera une équipe travaillant sur un projet d’IA agentique à fort impact métier. L’un des principaux objectifs est de développer et d’optimiser une solution capable de générer automatiquement des pré-réponses pertinentes à des e-mails utilisateurs portant sur différents types de demandes : renseignements, réclamations, opérations contractuelles, etc.\nLa mission comporte une forte dimension LLM, NLP, RAG et industrialisation des modèles IA.\nMissions principales\nReprendre les travaux existants et assurer la continuité du projet d’IA agentique.\n\nConcevoir, entraîner, évaluer et optimiser des Large Language Models (LLM) dédiés à la génération de texte.\n\nAméliorer la pertinence et la qualité des pré-réponses générées.\n\nOptimiser les processus de Retrieval-Augmented Generation (RAG) existants.\n\nParticiper à l’intégration et au déploiement des modèles en environnement de production.\n\nMettre en œuvre les bonnes pratiques MLOps / LLMOps : CI/CD, versioning, monitoring, déploiement et maintien en conditions opérationnelles.\n\nAnalyser les performances des modèles et identifier les axes d’amélioration.\n\nGarantir la robustesse, la scalabilité et la maintenabilité des solutions développées.\n\nRéaliser une veille sur les évolutions en IA Générative, LLM, NLP et Machine Learning.\n\nCollaborer étroitement avec les équipes Data, développement, architecture, produit et métiers.\n\nParticiper aux cérémonies et rituels Agile de l’équipe.\n\nProfil recherché\nMinimum 5 ans d’expérience en Data Science.\n\nExpérience significative sur des projets d’IA agentique et/ou NLP.\n\nDiplôme d’ingénieur ou Master 2 en Data Science, Intelligence Artificielle, Informatique ou domaine équivalent.\n\nSolide expertise en Machine Learning et traitement du langage naturel (NLP).\n\nExpérience concrète dans la conception, le fine-tuning, l’évaluation et l’optimisation de LLM.\n\nTrès bonne maîtrise de Python et de l’écosystème Data Science.\n\nExpérience des architectures et processus RAG.\n\nMaîtrise des pratiques MLOps / LLMOps.\n\nAutonomie, proactivité et capacité à reprendre rapidement un projet existant.\n\nBon esprit analytique et capacité à résoudre des problématiques complexes.\n\nExcellentes capacités de communication avec des interlocuteurs techniques et métiers.\n\nCapacité à évoluer dans un environnement Agile et en 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