Our mission is to innovate and develop intelligent solutions contributing directly to future ZEISS products. * Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production. * 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. * Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture. * Automation Specialist: You have a proven track record of designing and maintaining CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) that go beyond simple builds to include automated testing and deployment.
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