Machine Learning Engineer (m/f/x)

Carl Zeiss Pty Ltd

Oberkochen, Germany
Fully remote
Mlops infrastructure development
Python/c++ software packages
Automated ci/cd pipelines
Architect and maintain a robust MLOps infrastructure enabling seamless transition from local experimentation to global production

Job Summary

  • Architect and maintain a robust MLOps infrastructure enabling seamless transition from local experimentation to global production.
  • Act as an Engineering Bridge, transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages.
  • Own the provisioning and scaling of research computing environments using Terraform and Ansible, ensuring high availability and resource efficiency.

Matching Summary

Architect and maintain a robust MLOps infrastructure enabling seamless transition from local experimentation to global production.

Skills & Requirements

Must-have

  • MLOps infrastructure development
  • Python/C++ software packages
  • Automated CI/CD pipelines
  • Terraform and Ansible IaC
  • Docker and Kubernetes expertise
  • Azure DevOps or GitHub Actions
  • MLflow, Kubeflow, or DVC

Nice-to-have

  • Cross-disciplinary collaboration
  • Internal expert and consultant
  • Structured approach to work
  • Advocate for clean code
  • Mentoring researchers

Key Requirements

  • University degree in Computer Science or related field
  • Professional experience in production-grade software
  • Deep proficiency in Python
  • Hands-on experience with Docker and Kubernetes
  • Skilled in automating infrastructure with Terraform/Ansible
  • Proven track record of designing CI/CD pipelines
  • Experience in technical scope definition and backlog management

Work Rights

Not specified

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