Lead ML Ops Engineer

vor 3 Wochen


Munich, Deutschland ZEISS Group Vollzeit

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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