Senior ML Engineer (all genders)

Design and implement scalable ML architectures for high-availability enterprise applications, develop training and inference pipelines, and ensure model robustness. Experience in developing and operating productive machine learning systems in the enterprise sector and a degree in computer science, software engineering, data science, or a comparable field required.

Requirements

• At least 5 years of experience in developing and operating productive machine learning systems in the enterprise sector
• Completed degree in computer science, software engineering, data science, or a comparable technical field
• In-depth knowledge of MLOps principles, model versioning, feature stores, and lifecycle management securely
• Experience with Python, Docker, Kubernetes, MLflow, and at least one hyperscaler cloud like AWS, Azure, or GCP
• Engineering-oriented, test-driven, and with a clear focus on scalability and stability
• Proficient communication skills in German and English