Machine Learning Operations Engineer

Vor 7 Tagen

Munich, Bayern, Deutschland ZEISS Group Vollzeit
About the Role

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

Key Responsibilities
  • Develop and monitor solutions for our machine learning pipelines
  • Maintain data and concept drift detection pipelines
  • Collaborate with cloud engineers to develop Azure cloud infrastructure using Terraform
  • Automate testing and documentation of machine learning code
  • Provide support and automation for ML templating ecosystem for our Data Scientists and ML Engineers
  • Ensure the packaging, deployment, and distribution of our ML codebase
Requirements
  • 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)

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