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# AI & Data Engineer - H/F

- **Company:** Atos
- **Location:** Pessac, France
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Standard Sql, Solution Deployment Descriptor, Large Language Models, Apache Spark, Generative AI, Git, Machine Learning Operations, Docker, Databricks
- **Published:** September 23, 2026
- **Apply:** https://jobs.atos.net/talentcommunity/apply/1440602833/?locale=en_US

## About the Role

* Bac+5 en informatique, Data ou IA
 * 1 à 3 ans d'expérience (stage, alternance ou CDI inclus)
 * Bonne maîtrise de Python et SQL
 * Première exposition aux environnements Cloud et/ou Data
 * Intérêt pour l'IA générative et les technologies Data modernes
 * Curiosité, rigueur et esprit d'équipe

Ce que nous offrons

 * Des projets concrets en Data & IA
 * Un accompagnement dans votre montée en compétences
 * Des formations et certifications sur les technologies Cloud, Data et IA
 * Des perspectives d'évolution vers des rôles d'AI Engineer ou Data Engineer confirmé.

## Description

Dans le cadre du développement de nos activités Data & IA, nous recherchons un(e) AI & Data Engineer Junior-Confirmé pour participer à la conception et à l'industrialisation de solutions Data et Intelligence Artificielle.

Vous intégrerez une équipe pluridisciplinaire composée d'experts Data, IA et Cloud sur des projets innovants à forte valeur métier., * Développer et maintenir des pipelines de traitement de données

 * Participer à la conception et au déploiement de solutions Data & IA
 * Contribuer à l'intégration de modèles d'IA générative (LLM, RAG, assistants IA)
 * Participer à l'industrialisation des développements (CI/CD, tests, monitoring)
 * Déployer des solutions dans des environnements cloud
 * Assurer la maintenance et l'amélioration continue des plateformes

Environnement technique

 * Python, SQL
 * Databricks, Spark
 * Azure OpenAI, OpenAI, LangChain
 * Azure (prioritaire), AWS ou GCP
 * Git, CI/CD, MLflow
 * Docker


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