In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. We're looking for a Machine Learning Engineer (f/m/x) who enjoys working across disciplines and is eager to develop intelligent systems that make a real difference for our consumers. * Collaborative Consulting: Serve as the internal expert and consultant for scientists, helping them optimize their workflows and navigate the complexities of modern cloud and hardware environments. * Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture. * MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning.
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