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. 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 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. * 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. * Project Leadership: You have a structured approach to work, with experience in technical scope ...
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