Summary
An innovation-focused team is looking for an AI DevOps engineer to build and operate production environments for machine learning solutions. The role combines cloud engineering, automation, and AI deployment practices.
Highlights
Opportunity to industrialize AI solutions using modern cloud, automation, and MLOps technologies in an innovation-focused team.
Description
Mission description
As part of IT Innovation projects, you will join the AI Factory/Innovation team as an AI DevOps Engineer.
You will be responsible for designing, implementing and maintaining the infrastructures, CI/CD pipelines and environments required for the deployment and operation of AI solutions in production.
You will work in an agile mode, closely collaborating with AI developers, Data Scientists, architects and infrastructure teams.
You will play a key role in the industrialisation of AI solutions and the automation of deployment processes.
Required skills
Technical Skills :
• Proven experience in vibe coding with the use of AI tools to generate scripts, configurations and diagnose incidents
• 4+ years experience minimum DevOps/SRE
• Expertise in MLOps and deployment of AI models in production
• Proficiency with Cloud platforms (AWS, Azure, GCP) and Cloud AI services
• Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM Templates)
• Strong command of containerisation and orchestration (Docker, Kubernetes, Helm)
• CI/CD expertise (GitLab CI, GitHub Actions, Jenkins, Azure DevOps)
• Knowledge of MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines)
• Proficiency in scripting (Bash, Python) and automation
• Experience in monitoring and observability (Prometheus, Grafana, ELK, DataDog)
• Knowledge of DevSecOps security practices
