Computer Vision Engineers

Date: February 28, 2018

  • Knowledge and experience in developing and implementing Image Processing, Computer Vision, and Pattern Recognition algorithms.
  • Exposure to Machine Learning/Deep learning projects are highly desirable.
  • Strong Mathematical background, and understanding of the algorithmic concepts.
  • Good programming skills in C/C++.
  • Proficiency in using OpenCV, or similar Image Processing/Computer Vision libraries.
Desired skills:
  • Experience in developing and optimizing computer vision algorithms on embedded platforms with associated CPU, DSP and memory bandwidth limitations for real time performance requirements.
  • Industry experience in software development for Advanced Driver Assistance Systems.
  • Knowledge and experience in Computer Vision algorithms applicable for ADAS applications like Lane Departure Warning, Pedestrian detection, Drive Fatigue detection, Surround view/vision and Night vision etc.
  • Good communication, team, and presentation skills
  • Experience with version control and change control tools.
  • Experience Level – 2 to 6 years
    Qualification: BE/M.E/M.S/M.Tech/PhD degree in CSE/ECE
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