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. * 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. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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