DevOps / MLOps Engineer

Il y a 3 jours

Strasbourg, Grand Est, France Jobtailor Temps plein 70 000 € - 110 000 € Contrat

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Gratuit avec email ou Google

You will be responsible for operating, industrializing and securing the AI platform and its ecosystem
Implement and evolve AI- and MLOps-oriented CI/CD pipelines
Industrialize the lifecycle of models, agents and AI applications
Design and automate orchestration workflows (data & AI)
Deploy and maintain containerized environments (Docker, Kubernetes)
Integrate MLOps and observability tools into the production pipeline
Strengthen configuration and secrets management mechanisms
Contribute to establishing AI governance standards (security, compliance, auditability)
Operate, maintain and evolve a production AI platform
Ensure monitoring, observability and traceability of AI workloads
Guarantee availability, performance and resilience of AI services
Manage incidents, rollbacks and operational maintenance
Support project and business teams in productionizing AI use cases
Continuously automate and improve DevOps/MLOps operations
Document architectures, pipelines and operational best practices

4 to 7 years of experience in demanding DevOps/MLOps environments
Practical DevOps and MLOps practices applied to AI/GenAI environments
Cloud platform: Microsoft Azure (including Azure AI Foundry, Azure OpenAI, Entra ID, Key Vault)
MLOps & tracking tools: MLflow, Langfuse
Orchestration & automation: n8n, Airflow or equivalent
Containerization & orchestration: Docker, Kubernetes
CI/CD, configuration management, secrets management and application security
Development and automation in Python
Experience with productionized AI or industrialized data platforms