Lead ML Ops Engineer
vor 3 Wochen
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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