AI/ML DevOps Developer

Job summary

The AI/ML DevOps Developer role is essential for the industrialization and governance of AI capabilities in a cloud environment. Responsibilities include designing CI/CD pipelines, automating infrastructure with Infrastructure as Code, and implementing DevSecOps practices to ensure security and compliance for AI and GenAI solutions. This position requires collaboration with various teams to enhance operational excellence and support the deployment of large language models.

Qualifications

• A minimum of four years of relevant experience in DevOps, Cloud Engineering, Platform Engineering or Site Reliability Engineering (SRE)
• Knowledge of French is required
• Expert knowledge of Azure, Databricks and data platform services
• Expert knowledge of Docker, Kubernetes and distributed architectures
• Proficiency in CI/CD, GitOps, and Infrastructure as Code practices
• Knowledge of automation for the release of production models, APIs, apps and inference services

Responsibilities

• Design, implement and maintain continuous integration and deployment (CI/CD) pipelines
• Automate the release of infrastructure, application services, data components and inference services using Infrastructure as Code (IaC) principles
• Implement DevSecOps best practices for security, compliance and quality controls
• Manage and ensure reliability of production, testing and development environments
• Develop observability, logging, monitoring and alerting mechanisms
• Collaborate with platform, security, data and development teams
• Optimize delivery processes to reduce lead times and improve release quality
• Implement technological foundations for MLOps and LLMOps practices
• Participate in continuous improvement of tools, processes and standards
• Ensure access to necessary materials and support for teams

Skills

Degrees

Languages

Relocation