Deep Learning Jobs
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Suchergebnisse - Deep Learning Jobs
Imnoo AG-Opfikon-appcast.io-
processes, gaining invaluable experience and deep satisfaction along the way!
We’re looking for an experienced Software Engineer / Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services into production...
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Lightly-Zürich-
A leading technology start-up in Zurich is seeking a Senior Full-Stack Engineer to drive the development of innovative software solutions for deep learning models. The role requires expertise in TypeScript, NodeJS, and Python, with a focus on...
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Lightly AG-Zürich-appcast.io-
At the ETH spin‑off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
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Die Mobiliar-Nyon-
Fallviewers – eines KI-gestützten Tools zur Vereinfachung der Fall- und Akteneinsicht im Kontext der Rechtsschutzversicherung. Dabei setzt du moderne Methoden aus Machine Learning, Deep Learning sowie Large Language Models ein und bringst diese zuverlässig...
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Lightly AG-Zürich-appcast.io-
object detection and more. Ideal candidates have an MSc or PhD, experience in deep learning, strong Python skills, and a curious mindset for innovating within technology. This position offers attractive cash and equity packages and the possibility of...
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Epfl-Lausanne-
/NLP
• Technical skills:
Solid expertise in machine learning, with practical experience in deep learning architectures (transformers, language models) and information extraction tasks
Proficiency in Python, Unix-based systems, databases (SQL/NoSQL...
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StudySmarter-Zürich-appcast.io-
About us
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level‑5” autonomy for...
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Epfl-Lausanne-
Mission
The Laboratory for Information and Inference Systems (LIONS) at EPFL is looking for postdoctoral fellows with a strong background in machine learning, continuous optimization, and deep learning, or other related areas to work under the...
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Digitec Galaxus AG-Zürich-
Forecasting: Du entwickelst präzise Prognosemodelle für das tägliche Versandvolumen (Outbound Forecast), Warenströme und Lagerauslastung mit Methoden wie ARIMA, Prophet, XGBoost oder Deep Learning (LSTM, Transformer) unter Berücksichtigung von Saisonalität...
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Lightly AG-Zürich-join.com-
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
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Rocken®-Zürich-jobup.ch-
und/oder Rust zeichnen dich aus
• Du verfügst über erste praktische Erfahrung mit Deep Learning für Computer Vision, idealerweise über die gesamte Pipeline hinweg
• Deine Fähigkeit, komplexe Probleme über längere Zeiträume hinweg zu bearbeiten, hast...
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Artefact-Lausanne-appcast.io-
demonstrating feasibility and business impact.
• Programming & Modeling: Develop and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or HuggingFace.
• Cloud Engineering: Build and run solutions on Azure, GCP, or...
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ZHAW-Winterthur-
mit Promotion in Robotik, Automation, Künstlicher Intelligenz oder einem verwandten Gebiet.Sie kennen sich aus in den Themen Roboterkinematik, autonome Robotik, Model-predictive Control, Reinforcement Learning, Deep Learning, Mensch-Maschine-Interaktion sowie...
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Michael Page Switzerland-Genf-
Swiss wealth advisory firm X highly recognised economists and entrepreneurs. The firm X strictly client-centric approach, delivering independent, transparent and high-quality wealth management combines deep investment expertise with a modern, agile...
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Lightly-Zürich-
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
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