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    Lead ML Ops Engineer - Munich, Deutschland - ZEISS Group

    ZEISS Group
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    Ganztags
    Beschreibung

    Your Role

    As Lead MLOps Engineer, you will be part of a growing team of machine learning experts. Your responsibilities will include:

  • Technical leadership in MLOps/DevOps engineering area
  • Automate testing and documentation of machine learning code
  • Provide support and automation for ML templating ecosystem for our Data Scientists and ML Engineers
  • Take care of packaging, deployment, and distribution of our ML codebase
  • Develop monitoring solutions for our machine learning pipelines
  • Your Profile

  • An excellent university degree (PhD is a plus) in natural science, mathematics, computer science, engineering or similar
  • At least 5+ years of professional experience in MLOps, DevOps, or infrastructure engineering role
  • Proven experience in creating build and release pipelines for ML solutions
  • Proficiency in object-oriented programming with Python
  • Deep understanding of Python packaging and distribution ecosystem
  • Knowledge of infrastructure-as-code with Terraform (Azure cloud is a plus)
  • Hands-on experience in REST APIs and state-of-the-art cloud technologies (Azure cloud is a plus)
  • Expertise in virtualization technologies with Docker
  • Experience in container orchestration with Kubernetes (maintaining a K8s cluster is a plus)
  • Expertise in software engineering practices and version control with Git
  • Knowledge of data version control and ML metadata offerings are a plus (e.g. Azure ML, MLFlow, DVC)
  • Strong communication skills and collaborative team spirit
  • Fluent English (German language skills are a plus)
  • Your ZEISS Recruiting Team:

    Annett Burger, Huyen Trang Pham, Markus Repp

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