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Capgemini

Brussels / Global

DevOps Engineer(AI)

Job Description

DevOps Engineer with AI Experience


Location: Brussels, Belgium

Employment Type: Permanent / Full-Time


Job Summary

We are seeking a highly skilled DevOps Engineer with AI/ML platform experience to design, implement, and maintain scalable cloud infrastructure supporting AI-driven applications. The ideal candidate will have expertise in DevOps automation, CI/CD, cloud technologies, containerization, and MLOps practices to enable efficient deployment and monitoring of AI solutions.


Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines for cloud-native and AI applications.
  • Manage and optimize infrastructure on AWS, Azure, or Google Cloud Platform.
  • Automate deployment, monitoring, and scaling using Infrastructure as Code (Terraform, Ansible, CloudFormation).
  • Support AI/ML model deployment, versioning, and lifecycle management using MLOps practices.
  • Implement containerization and orchestration using Docker and Kubernetes.
  • Monitor system performance, reliability, security, and cost optimization.
  • Collaborate with Data Scientists, AI Engineers, and Software Development teams to operationalize AI solutions.


Required Skills:

  • 4+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
  • Strong experience with Azure, AWS, or GCP.
  • Hands-on expertise in Docker, Kubernetes, Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.
  • Experience with Infrastructure as Code tools such as Terraform or Ansible.
  • Knowledge of Linux administration, scripting (Python, Bash, PowerShell), and networking fundamentals.
  • Experience deploying and managing AI/ML workloads and MLOps platforms.


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