Design and develop cutting edge solution that tackles exciting computer vision challenges. Implement deep learning solution in various form factors: on GPU……
Machine learning, statistics & generative AI (from model design to deployment). Partner with our client’s leadership teams, engineers, program managers and data……
Solid programming foundation, proficient in Python, familiar with at least one mainstream machine learning framework, and grasp basic machine learning algorithm……
Knowledge of machine learning powered personalization methods, design patterns and tools. Data driven customer feedback and satisfaction analysis: leverage of……
Strong understanding of AI concepts such as natural language processing (NLP), computer vision, and data-driven decision making, with the ability to leverage……
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 optimization.
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.