Machine Learning Engineer Jobs in Lugano
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Search Results - Machine Learning Engineer Jobs in Lugano
Shootify Labs AG-Lugano
Overview
Generative AI is poised to transform fashion, but off-the-shelf models fail to deliver the product accuracy and brand consistency that enterprises require. We're a well-funded, Swiss-based startup looking for a senior engineer to tackle...
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Karlstad University-Manno, 4 km from Lugano
The purpose of this position is to support research and development (R&D) activities focused on designing novel solutions for privacy-preserving machine learning, with a particular focus on Large Language Models (LLMs). The selected candidate will contribute...
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Artificialy-Lugano
Direct message the job poster from Artificialy
Chief Scientist @ Artificialy | Scientific Director @ IDSIA | Full Professor @ SUPSI-IDSIA | Keynote Speaker
Machine Learning Engineer
Essentials (please *don't apply* if you don't match all three...
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Karlstad University-Manno, 4 km from Lugano
contexts.
• Collaborates with research, development, and engineering teams to design and implement intelligent systems capable of automating complex processes in the construction sector, using cloud-native architectures.
• Integrates machine learning models...
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Karlstad University-Manno, 4 km from Lugano
The role involves close collaboration with interdisciplinary teams, including academic researchers, software engineers, and industry partners, with the goal of translating cutting-edge research into practical applications tailored to the specific needs...
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Karlstad University-Manno, 4 km from Lugano
performance, scalable connectivity, and secure-by-design AI to support the seamless, intelligent automation of next-generation communication infrastructures.
As machine learning (ML) and artificial intelligence (AI) techniques become increasingly central...
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Karlstad University-Manno, 4 km from Lugano
at SUPSI and UZH-ETH Zürich.
Requirements
• Master’s in Electrical Engineering, Electronics or Computer Science Engineering, Informatics, or other quantitative fields.
• Candidate 1: strong background in the electronic embedded domain (engineering...
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