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2 technology developer jobs found in Berlin

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Synopsys
09/04/2026
Full time
Part time working student / Working student: Project Management Office Internship - Power BI & Python skills
Synopsys Berlin, Germany
Introduction:   We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide—and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today! Mission...
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...
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