Chef de projet Intégration DEVOPS & ML Engineer Cloud

Position: Integration Project Manager, DEVOPS & ML Engineer Cloud. Within the Technical Infrastructure Division of the IT Department, the AI/MLOps squad ensures the industrialization, deployment, security and operational maintenance of Artificial Intelligence solutions (Machine Learning, Computer Vision, GenAI/LLM) on multi-cloud environments (AWS, Azure and GCP). The contractor will work at the interface between Business/Data Science teams and Infrastructure/Operations, paired with an already in-post ML/MLOps engineer, to ensure continuity of service and evolution of two ML production workstreams.

Large-scale operational data processing, EDA on noisy industrial data, design and maintenance of spatio-temporal matching algorithms, serverless processing and document generation.

Technical environment: Amazon SageMaker (training, inference, pipelines, model registry), Amazon Bedrock (GenAI, RAG, Guardrails), Lambda, S3, Glue, Kinesis / Firehose, Athena, Comprehend / Textract, boto3; data platforms ELK and BigQuery; IaC Terraform.

End-to-end industrialization (versioned datasets, training pipelines, evaluation gate, model registry, blue/green deployment, drift monitoring), multi-site deployment and optimization (multi-site architecture, RL / SAC models).

Technical environment: Azure Machine Learning (online/batch endpoints, pipelines, model registry, MLflow, data assets, blue/green, drift), Microsoft Fabric / OneLake, Azure DevOps, Azure AI (Azure OpenAI, AI Search, Cognitive Services), AKS, IaC Terraform / Bicep.

Objectives: hybrid cloud AI architectures, CI/CD ML pipelines, documented Terraform modules, containerization, N3 AI/Data support, AI FinOps audits, data security and compliance.

Start date: ASAP