Computer Vision Expert

Lund, Sweden

Incluso

Rekrytering och konsultuthyrning - med fokus på internationella talanger. Vi har stora nätverk med talanger från hela världen.

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We’re looking for you who are experienced and have innovative industrial experience in Computer Vision and AI to join a global company in Lund, Sweden.

This is a full-time, one-year consultant contract starting in December 2024 with the possibility to be extended.

As you tackle cutting-edge algorithm and systems development, your work will span component and architecture levels. You’ll work on multi-view camera systems for tracking, scene understanding, and more, focusing on application-specific algorithm research, requirements analysis, performance benchmarking, and compute optimization. This role offers a hands-on opportunity to shape and refine AI and CV technologies.

Key Skills & Experience:

  • Advanced CV & Systems Architecture: At least 5 years of experience in state-of-the-art CV algorithms and system-wide architecture for commercial applications.
  • Specialized Expertise: Deep understanding of person/object pose detection, tracking, motion and action recognition, multi-view geometry, camera calibration, 3D reconstruction, and scene analysis.
  • Problem-Solving & Debugging: Strong analytical and debugging abilities to tackle complex technical challenges.
  • Software Architecture & Design: Familiarity with best practices in software architecture and API design.
  • ML/DNN Optimization: Experience in optimizing ML/DNN performance, including CUDA.

Personal/Education:

  • MSc Engineering degree CV/AI - required
  • PhD Engineering degree CV/AI - preferred
  • English
  • Social skills in a multi-cultural environment

Experience/background in Computer Vision connected to Real-time, human pose and so on is preferred.

Please get in touch with Karin Persson if you have any questions.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: 3D Reconstruction APIs Architecture Computer Vision CUDA Engineering Industrial Machine Learning PhD Research

Region: Europe
Country: Sweden

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