Machine Learning Engineer (m/f/x)
Core
Architecting and maintaining MLOps infrastructure to bridge experimental research with production-grade software for ZEISS products.
Role type
Senior Machine Learning Engineer (MLOps & Infrastructure)
Builds
Robust MLOps infrastructure, production-ready Python/C++ software packages, automated CI/CD pipelines, and scalable research computing environments.
Domain
Optical technology and precision engineering
Deliverable
production ML models | infrastructure
Required skills
Python, C++, Docker, Kubernetes, Terraform, Ansible, Azure DevOps, Git, MLflow, Kubeflow
Preferred skills
C#, Bicep, DVC
Responsibilities
Design and maintain MLOps infrastructure; transform experimental research code into modular software; build automated testing and deployment pipelines; provision and scale research computing environments; define engineering standards for the department; implement monitoring and logging solutions; consult with scientists on workflow optimization.
Seniority
Senior, hands-on IC