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. * Productionalize Research: Act as the "Engineering Bridge" by transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages. * Engineering Foundation: You hold an excellent university degree in Computer Science, Software Engineering, or a related technical field. While we value advanced degrees, we prioritize professional experience in building production-grade software systems.
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