5 deep learning engineer-Stellen in Zug heute aktualisiert
Stellenangebote gefunden
Our client is a well-established pharmaceutical company in the city of Zug, operating as part of global group. To support their commercial department, we are currently looking for a Generative AI / Machine Learning Engineer (PhD required) – 60% workload & immediately available – Pharma Industry
Grid DynamicsWe are seeking a talented and experienced Senior Machine Learning Engineer to join our team, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, agents, and safety considerations. The ideal candidate has a strong foundation in machine learning, practical eng
Grid DynamicsWe are seeking a talented and experienced Senior Machine Learning Engineer to join our team, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, agents, and safety considerations. The ideal candidate has a strong foundation in machine learning, practical eng
Grid DynamicsppWe are looking for an exceptional Machine Learning Engineer to help shape the next generation of AI systems, with a focus on modern LLM architectures, RAG implementations, autonomous agents and AI safety. /p pWorking hours: overlap until 3 pm US EST is required. /p h3Responsibilities /h3 ul liOwn
Grid DynamicsWe are looking for an exceptional Machine Learning Engineer to help shape the next generation of AI systems, with a focus on modern LLM architectures, RAG implementations, autonomous agents and AI safety. Working hours: overlap until 3 pm US EST is required. Responsibilities Own machine learning pro
SkydioSkydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and
Senior Deep Learning Compiler Engineer - PyTorch Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing
Stellenbeschreibung NVIDIA is seeking a Deep Learning Software Engineer to join our Developer Technology group in Zürich. This role involves developing innovative tools using deep learning and C++, collaborating with leading game developers and engineers on advanced AI research. The ideal candidate
NVIDIA AIJob Requisition ID JR2012814 Job Category Univ Employment Time Type Full time NVIDIA is looking for engineering and research interns to join its Deep Learning algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to pow
NVIDIA is looking for engineering and research interns to join its Deep Learning algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to power data centers. Join the team building software which will be used by the ent
ethonJob description Ethon was built to eliminate the trillion-dollar waste problem in manufacturing. We are the technology leader in Industrial AI, building agentic workflows that help manufacturers optimize cost, quality, and speed of production. We are a fast-growing team driving massive impact in one
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and
SkydioSkydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and
Aufgaben • Entwicklung, Training und Optimierung von Machine-Learning-Modellen Aufbau und Wartung von skalierbaren ML-Pipelines (Data Ingestion, Training, Deployment) Zusammenarbeit mit Data Scientists und Software Engineers zur Integration von Modellen in Produktionssysteme Analyse großer Datensätz
CHF 70'000 – CHF 110'000/Jahr
Schatzungsvertrauen: Hoch
Schatzung basierend auf Marktdaten für Zug. Tatsachliche Gehalter konnen je nach Erfahrung, Unternehmen und Gebiet variieren.
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