Machine Learning Engineer (m/f/x)

Carl Zeiss Pty Ltd

Oberkochen, Germany
On-site
Mlops infrastructure
Python/c++ software packages
Automated ci/cd pipelines
Carl Zeiss Pty Ltd is seeking a Machine Learning Engineer to develop intelligent systems and enhance their MLOps infrastructure. The role involves productionalizing research, automating pipelines, and ensuring engineering best practices within a collaborative environment

Job Summary

  • Architect the ML Platform, designing, implementing, and maintaining a robust MLOps infrastructure.
  • Productionalize Research by transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages.
  • Establish Engineering Standards, defining and promoting best practices for the entire department.

Matching Summary

Match Score: 85

Carl Zeiss Pty Ltd is seeking a Machine Learning Engineer to develop intelligent systems and enhance their MLOps infrastructure. The role involves productionalizing research, automating pipelines, and ensuring engineering best practices within a collaborative environment.

Skills & Requirements

Must-have

  • MLOps infrastructure
  • Python/C++ software packages
  • Automated CI/CD pipelines
  • Terraform and Ansible
  • Docker and Kubernetes
  • ML lifecycle tooling

Nice-to-have

  • Advocate for clean code
  • DevOps mindset
  • Collaborative consulting
  • Project leadership

Key Requirements

  • University degree in Computer Science or related field
  • Professional experience in production-grade software systems
  • Experience with C++ or C#
  • Hands-on experience in Docker and Kubernetes
  • Skilled in automating infrastructure using Terraform, Ansible, or Bicep
  • Proven track record of designing and maintaining CI/CD pipelines
  • Familiarity with ML lifecycle stack (MLflow, Kubeflow, DVC)
  • Strong communication skills
  • Structured approach to work

Work Rights

Not specified

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