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2 artificial intelligence jobs found in Berlin

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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...
LiveEO GmbH
01/04/2026
Full time
(Senior) Data Engineer (f/m/x) - Remote Sensing & AI Pipelines
LiveEO GmbH Cuvrystraße 3-4, 10997 Berlin-Friedrichshain-Kreuzberg, Germany
Build the Market Leader in Satellite Analytics with us at LiveEO We are looking for a   Senior Data Engineer   to build the high-performance data backbone for our multitemporal, multimodal Earth observation models. While our ML Engineers focus on model architecture, you will own the   infrastructure, ingestion, and refinement pipelines   that combine very high-resolution optical and Synthetic Aperture Radar (SAR) data into production-ready datasets. This is a high-impact role at the intersection of Big Data and AI. You will ensure that our "data engine" is scalable, deterministic, and capable of handling petabytes of geospatial information to enable semantic understanding across sensors and time. LiveEO is a young, dynamic team that thrives on big challenges and fast learning cycles—we move quickly, stay curious, and genuinely enjoy building together. We’re on a mission to break the “curse of Earth Observation”: turning incredible satellite data into   reliable,...
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