Deep Learning Jobs
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Suchergebnisse - Deep Learning Jobs
GlonetPartners GmbH-Zürich
We are seeking a highly proficient Deep Learning Specialist to spearhead initiatives aimed at optimizing B2B processes within the industrial sector. If you are passionate about leveraging deep learning techniques to enhance operational efficiency...
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Imnoo AG-Opfikon
and related fields.
Hands-on experience in
Frontend
(e.g., Angular) and
Backend development .
Full-stack development experience.
Familiarity with popular machine learning/deep learning libraries, such as
scikit-learn ,
PyTorch , and
PyTorch Lightning...
Zaamigo-Zürich
Founding Software and Deep Learning Engineer
About the role
You'll work with the Co-Founder/CTO and other exceptional engineers. You will create groundbreaking products for digital dentistry.
• Writing human readable, high-performance...
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Apple Inc.-Bern
NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
Hands-on experience working with deep learning toolkits such as TensorFlow or PyTorch.
Preferred Qualifications
Strong mathematical skills in linear algebra and statistics.
Ability to...
Apple Inc.-Schweiz
developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Description
We believe that the most interesting problems in deep learning research arise...
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Gravis Robotics-Zürich
of a new industry: automated heavy construction!
Your Responsibilities
• Lead the development and deployment of advanced real-time perception and deep learning models for autonomous heavy machines, focusing on multi-modal object detection / tracking...
AMM Group-Zürich
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 flying vehicles.
Your Role
In collaboration with our team of engineers, machine...
lastminute.com group-Chiasso
Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch...
Lightly-Schweiz
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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Bruederlinpartner-Basel
spaCy und Gensim
• Gutes Verständnis von Deep-Learning-Frameworks wie PyTorch
• Erfahrung mit MLOps und entsprechenden Frameworks, die den gesamten Lebenszyklus von ML-Modellen abdecken (Datenverarbeitung, Training, Test, Verifikation, Bereitstellung...
Lightly AG-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...
appcast.io -
Meta-Zürich
estimation, shape inference, motion modelling.
4. Neural representations and deep implicit models.
5. Deep learning applied to image, depth, and 3D data for monocular and multi-view stereo reconstruction of dynamic surfaces.
Research Scientist Intern, Body...
Apple Inc.-Bern
and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
Minimum Qualifications
Strong experience in deep learning with demonstrated work in at least one area of...
Visium SA-Lausanne
Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology).
• Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models.
• Experience with MLOps best...
Visium-Zürich
practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology)
Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models
Experience with MLOps best practices and tools (e.g...
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