46 Deep-learning Jobs in Berlin

Werkstudent*in Deep Learning/ Visual Computing/ Procedural Modelling Die Fraunhofer-Gesellschaft ( www.fraunhofer.de ) betreibt in Deutschland derzeit 76 Institute

Vor 10 Tagen

Hands-on experience in developing algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python or C/

Vor 30+ Tagen

. • Good grasp of deep learning principles, especially as applied to perception. • Fluent in written and spoken English. • Willingness to travel for testing and

Vor 7 Tagen

Note: Certain expertise areas such as AUTOSAR or specific cloud platforms can be flexible based on the candidate’s strengths and learning capabilities.

Vor 7 Tagen

As a Geospatial Segmentation AI Engineer, you’ll develop the deep learning systems that enable our vehicles to perceive and understand the world through satellite

Vor 7 Tagen

Bonus points for experience in machine learning or theoretical foundations.

Vor 21 Tagen

You operate the software of your team in production, anticipating problems, learning from mistakes, and ensuring customer workloads run without disruption.

Vor 30+ Tagen

Solid understanding of machine learning, deep learning, and computer vision fundamentals, especially image segmentation.

Vor 7 Tagen

Proficiency in Python, with hands-on experience using deep learning frameworks like PyTorch and inference platforms like ONNX and TensorRT.

Vor 17 Tagen

Technical Proficiency: You are proficient in CI/CD and cloud deployment, ideally with Azure and Kubernetes.Bonus points if you have experience with machine learning

Vor 30+ Tagen

We provide them with the opportunities to learn and develop in a self-determined way, various attractive programs and learning materials are available for this purpose

Vor 30+ Tagen

Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services - Computer Vision - Kernel, Hardware Accelerator, TVM, or Code-gen - Deep

Vor 30+ Tagen

Ziel ist es, Techniken des Compressed Sensing mit Verfahren des maschinellen Lernens und Deep Learning zu kombinieren, um eine zuverlässige Bestimmung der Unsicherheiten

Gerade eben

Ziel ist es, Techniken des Compressed Sensing mit Verfahren des maschinellen Lernens und Deep Learning zu kombinieren, um eine zuverlässige Bestimmung der Unsicherheiten

Vor 7 Tagen

techniques for regression, classification, clustering, NLP, Computer Vision, and time-series forecasting Develop and deploy deep learning models using PyTorch,

Vor 8 Tagen

Deep Learning.

Vor 9 Tagen

Deep Learning.

Vor 9 Tagen

Motivation und Eigeninitiative Interesse an erklärbarer künstlicher Intelligenz (XAI) und/oder angewandtem maschinellem Lernen (AML) und/oder effizientem Deep Learning

Vor 10 Tagen

Ausschneiden, Wechsel des Farbraums, Skalierung) durch Programmierung; gute Englischkenntnisse in Wort und Schrift; Kenntnisse des Deep Learning.

Vor 13 Tagen

B. im Kontext von Deep Learning für die datengestützte Modellierung von Klimaphänomenen, Maschinelles Lernen für Erdsystemmodellierung und Downscaling, Physikalisch

Vor 13 Tagen