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# Engineer Senior H/F

- **Company:** Skiils
- **Location:** Inconnu, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Github, Machine Learning, Google Cloud, Delivery Pipeline, Large Language Models, Multi-Cloud, Generative AI, Git, Kubernetes, Hashicorp, Machine Learning Operations, Terraform, Docker, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/81684807.html

## About the Role

Minimum 4 ans d'expérience en Platform Engineering, MLOps, ML Engineering ou Cloud Engineering.

 - Solide expertise Cloud et Infrastructure as Code.
 - Expérience des environnements Data/IA industrialisés.
 - Forte capacité à vulgariser et accompagner les utilisateurs.
 - Anglais professionnel.

Stack technique :
AWS, GCP, Databricks, MLflow, Airflow, Terraform, Docker, Kubernetes, GitHub CI/CD, HashiCorp Vault.

Compétences clés :
Databricks (Avancé), Terraform (Confirmé), Architecture Cloud (Confirmé), IA Générative (Confirmé), AWS (Confirmé), GCP (Confirmé), GitHub CI/CD (Confirmé), HashiCorp Vault (Avancé).

Enjeu principal :
Le besoin vise un Senior AI Platform Engineer / MLOps Engineer capable de construire et faire évoluer une plateforme IA multi-cloud robuste, automatisée et scalable, tout en facilitant l'adoption des technologies IA et GenAI par les équipes techniques., Git
Kubernetes
Terraform
Docker

## Description

Objectif : Concevoir, industrialiser et faire évoluer une plateforme IA/MLOps multi-cloud permettant aux Data Scientists et ML Engineers de développer, déployer et exploiter des solutions IA et IA générative à grande échelle., Concevoir des architectures IA sur AWS et GCP.

 - Industrialiser les infrastructures via Terraform et les principes Infrastructure as Code.
 - Mettre en place et optimiser les pipelines CI/CD.
 - Déployer et maintenir les outils MLOps et les services d'IA générative (LLM, agents).
 - Définir les standards, bonnes pratiques et documentations de la plateforme.
 - Accompagner les utilisateurs techniques et promouvoir l'adoption des solutions.


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