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Machine Learning Operations Engineer

vor 2 Monaten

Munich, Bayern, Deutschland ZEISS Group Vollzeit

About Us:

ZEISS Group is a leading technology company that specializes in the development and production of innovative solutions for various industries, including optics and photonics. Our company is committed to driving innovation and excellence in our products and services.

Your Role:

We are seeking an experienced MLOps Engineer to join our Enterprise Data and Analytics team. As an MLOps Engineer, you will play a crucial role in shaping the future of Data Analytics and Machine Learning at ZEISS. Your responsibilities will include:

  • Developing and monitoring solutions for our machine learning pipelines
  • Maintaining data and concept drift detection pipelines
  • Collaborating with cloud engineers to develop Azure cloud infrastructure using Terraform
  • Automating testing and documentation of machine learning code
  • Providing support and automation for ML templating ecosystem for our Data Scientists and ML Engineers
  • Taking care of packaging, deployment, and distribution of our ML codebase

Your Profile:

  • An excellent university degree in computer science, natural science, mathematics, engineering, or similar
  • At least 3+ 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)