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. * Automation & CI/CD: Build and manage sophisticated automated pipelines for testing, building, and deploying ML models across diverse ZEISS product environments (Cloud, Edge, and On-premise). * 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. * 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. While we value advanced degrees, we prioritize professional experience in building production-grade software systems.
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