Mlops Engineer

Atos SE

Madrid, Spain
On-site
Python for ai/ml
Docker and kubernetes deployment
Ci/cd pipelines (github actions)
Design, develop, test, and document software components for AI and MLOps systems that improve scalability, reliability, and performance

Job Summary

  • Design, develop, test, and document software components for AI and MLOps systems that improve scalability, reliability, and performance.
  • Configure and maintain CI/CD pipelines (GitHub Actions) to automate processes from model training to deployment.
  • Flexible Work Schedule: Half day Fridays and an intensive summer workday supporting work life balance.

Matching Summary

Design, develop, test, and document software components for AI and MLOps systems that improve scalability, reliability, and performance.

Skills & Requirements

Must-have

  • Python for AI/ML
  • Docker and Kubernetes deployment
  • CI/CD pipelines (GitHub Actions)
  • MLOps workflow management
  • Linux environments
  • vLLM for LLM deployment

Nice-to-have

  • data analytics and large scale AI
  • European research projects involvement

Key Requirements

  • 3+ years of experience with Python
  • 3+ years of experience deploying containerized applications
  • 2+ years of experience with MLOps platforms
  • Experience with version control systems (Git, GitHub, GitLab)
  • English proficiency (B2 or higher)

Work Rights

Not specified

Tailored Resume

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