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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. * Productionalize Research: Act as the "Engineering Bridge" by transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages. * Observability & Lifecycle Management: Implement advanced monitoring and logging solutions (e.g., MLflow, ELK stack) to track model performance, data drift, and system health in real-world applications. * Engineering Foundation: You hold an excellent university degree in Computer Science, Software Engineering, or a related technical field.
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. * Productionalize Research: Act as the "Engineering Bridge" by transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages. * Observability & Lifecycle Management: Implement advanced monitoring and logging solutions (e.g., MLflow, ELK stack) to track model performance, data drift, and system health in real-world applications. * Engineering Foundation: You hold an excellent university degree in Computer Science, Software Engineering, or a related technical field.
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