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2 ai machine learning engineer jobs found in Berlin

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DevOps Berlin ai machine learning engineer
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Nomitri
09/04/2026
Full time
Machine Learning Engineer for Edge AI at fast growing Berlin AI Company
Nomitri Berlin, Germany
Location:   Berlin, Germany (hybrid:   3 days in-office , 2 days remote) Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily. We are looking for a Machine Learning Engineer to support the ML team in bringing state-of-the-art machine learning models to production. We work on object detection, scene understanding, self-supervised learning, temporal models, representation learning, model compression, efficient architectures and many other exciting topics. You will contribute to a broad spectrum of topics ranging from implementing research ideas over improving our training and deployment pipelines to enhancing our data quality and efficiency. What you’ll do: You will cover all phases of the ML life cycle and production-grade development Assess and solve new ML use cases Go...
Nomitri
06/04/2026
Full time
Technical Support Engineer at fast growing Berlin AI Company
Nomitri Berlin, Germany
Location:   Berlin, Germany (hybrid:   3 days in-office   , 2 days remote) Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily. We're looking for a highly analytical, hands-on engineer who enjoys   digging into complex systems   , solving real-world problems, and growing into a key role at the intersection of   support, infrastructure, and AI systems   . What you'll do Monitor and analyze live systems across stores using logs, telemetry, and video data. Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments). Support and validate deployments — from preparation to rollout in production. Act as a technical interface to customers during rollouts and incident resolution. Work closely with engineering to identify root...
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