AI Vision Researcher — Image & Video Intelligence

Placements24

Riverton (UT)

On-site

USD 54,000 - 79,000

Full time

6 days ago
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Benefits offered by this job

Conference travel opportunities
State-of-the-art computing resources
Competitive research salary
Professional development support

Job summary

Our client is seeking a brilliant AI Researcher specializing in computer vision to join their R&D team in Upington, Northern Cape. You will lead research on image and video analysis, develop novel algorithms for detection and segmentation, and publish results at top venues.

The role emphasizes deep learning expertise, strong theoretical foundations, and collaboration with a talented team to push visual intelligence forward in pioneering AI systems.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, or related field with CV specialization.
  • Proven research in CV, with publications in top venues or journals.
  • Strong theoretical understanding of deep learning, CNNs, and related AI techniques.
  • Proficiency in Python and DL frameworks (TensorFlow, PyTorch).
  • Experience with CV libraries (OpenCV).

Responsibilities

  • Conduct cutting-edge CV and deep learning research for image and video analysis.
  • Develop and implement novel algorithms for detection, segmentation, tracking, and classification.
  • Design, train, and evaluate deep neural networks for CV applications.
  • Collaborate with researchers and engineers to translate research into practical solutions.
  • Publish findings at conferences/journals and contribute to research roadmaps.

Skills

Python programming
Deep learning
CNNs
OpenCV
TensorFlow/PyTorch
Research communication

Education

Ph.D. or MSc in CS/EE/AI with CV specialization

Tools

TensorFlow
PyTorch
OpenCV

Job description

Our client is seeking a brilliant AI Researcher specializing in computer vision to join their R&D team in Upington, Northern Cape. You will lead research on image and video analysis, develop novel algorithms for detection and segmentation, and publish results at top venues.

The role emphasizes deep learning expertise, strong theoretical foundations, and collaboration with a talented team to push visual intelligence forward in pioneering AI systems.

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