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DevOps / MLOps Engineer
Consort GroupIngénieur 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.
Tech Stack
Tools & technologiesAirflowAzureCloudDockerKubernetesPythonVault
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
ATS Keywords
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Hard Skills & Tools
CI/CDMLOpsDevOpscontainerizationorchestrationPythonconfiguration managementapplication securitymonitoringobservability
Soft Skills
incident managementoperational maintenanceautomationdocumentation