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Engineer for Computer Vision and Deep Learning (m/f)
Eingestellt von Hays aus Mannheim, Universitätsstadt
Gesuchte Skills: Engineering, Python, Engineer
Projektbeschreibung
344365/8
IHRE AUFGABEN:
-Design and implementation of innovative algorithms in deep learning and artificial intelligence
-Implementation of object detection, classification, reconstruction and segmentation concepts with image, video and 3D data
-Apply state-of-the-art machine/deep learning and computer vision methods to real world problems in various solutions for intelligent mobility (e.g. in augmented reality, autonomous driving, video analytics etc.)
-Performance evaluation with large scale data sets
-Rapid prototyping of prototypes and solutions
-Software engineering in C/C++, Cuda, Python and equivalent programming languages
-On-the-road experimenting and bringing innovations to work in the real world
-Lead and conduct advanced R&D to shape new prototypes and products
IHRE QUALIFIKATIONEN:
-Hands-on experience and in-depth knowledge in machine learning and computer vision
-Excellent C/C++ and Cuda programming skills, proficient with scripting languages (e. g. Python), computer vision related libraries (e. g. OpenCV, PCL) and machine/deep learning tools (e. g. Caffe, TensorFlow)
-Profound development and prototyping experience in large, high-quality software systems, equivalently PhD in a related area
-Strong theoretical and practical background in computer vision or machine learning with proven record in research and innovative thinking
-Passion for quality products, software development principles and best practices
-Excellent communication, teamwork, technical writing skills and strong problem solving skills
-Experience and passion for managing larger projects is beneficial
-Experience in Cloud-based machine learning concepts is beneficial
WEITERE QUALIFIKATIONEN:
Software developer
Projektdetails
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Einsatzort:
Berlin, Deutschland
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Projektbeginn:
asap
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Projektdauer:
6 MM+
- Vertragsart:
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Berufserfahrung:
Keine Angabe
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik