Responsibilities

• Design and develop cutting edge solution that tackles exciting computer vision challenges.
• Implement deep learning solution in various form factors: on GPU servers / Edge AI devices / Linux embedded system.
• Develop high quality and production-ready software.
• Data collection, data cleansing, model training and model performance optimisation.
• Research and apply state-of-the-art computer vision algorithms and software libraries, including study of publications and opensource projects.
• Research and apply the latest hardware and equipment, such as cameras, optical sensors, optical lens, video processing equipment and computer network infrastructure.

Qualifications and requirements

• Degree or above in Computer Science/ Computer Engineering/ Electronic Engineering / Information Engineering / Data Sciences/ Physics or related fields.
• Minimum 3 years of working experience in IT/engineering.
• Proficiency in Python or C/C++.
• Proficiency in Linux.
• Experience in one or more CV/deep learning libraries: OpenCV, Tensorflow, Keras, PyTorch, DeepStream, Torch or Caffe.
• Experience in Jetson Platform or Ultra96 is a plus.
• Excellent self-learning ability, proactive to take initiatives.
• Candidates with PhD is a plus.
• Candidates with less experience will be considered as Computer Vision Engineer.