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Consort Group

DevOps / MLOps Engineer

Consort Group

Ingénieur DevOps / MLOps responsable de l’industrialisation et de la sécurisation de solutions IA. Collaborant sur des environnements cloud complexes pour assurer la performance des services IA.

Posted 6/13/2026full-timeStrasbourg • 🇫🇷 FranceMid-LevelSenior💰 €45,000 - €52,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAzureCloudDockerKubernetesPythonVault

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • A thoughtful and human-centered onboarding
  • Close managerial proximity and support
  • Continuous access to training
  • Concrete commitments: inclusion, equality, solidarity
  • A comprehensive HR package: health insurance, meal vouchers, works council (CSE), supplementary insurance
  • A culture of feedback and meaningful projects

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Hard Skills & Tools
CI/CDMLOpsDevOpscontainerizationorchestrationPythonconfiguration managementapplication securitymonitoringobservability
Soft Skills
incident managementoperational maintenanceautomationdocumentation