Our Computer Vision Stack
Our computer vision stack consists of multiple platforms including OpenCV, Halcon, Python Machine Learning, convolutional neural network, tensor flow, C# .NET, Lua, ROS, ROS2.

Responsibilities
• As a Computer Vision (CV) Engineer with company, this is your opportunity to develop and implement computer vision and machine learning models to address unusual and complex problems for a variety of breakthrough solutions.
• Work on 2D image processing such as extracting features, patters, OCR and 3D image processing such as image stitching, point cloud analysis and tools development
• Develop algorithm for robot guidance, inspection, anomaly identification
• Sensor fusion: integration and calibration of different sensors (Mono/Stereo cameras, IMUs, depth cameras, time of flight camera, LiDAR, Laser Triangulation camera etc.)
• Integration of hardware – sensors, embedded compute - and software algorithms into a high-throughput low-latency pipeline. Computer Vision/OpenCV C++ development
• Write efficient and easy to read code, review the code from others.
• Design, develop or modify and implement computer vision solution to support Asia Pacific clients.
• Create technical documentations for internal and external use

Job Requirements
• Bachelor’s degree in computer science, data science, mathematics, or a related field.
• Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
• Work experience in OpenCV, Tensorflow, .NET, ROS, ROS2 or other computer vision platforms
• Work experience in computer vision algorithms for OCR, Patten Matching, Point Cloud and Image rectification
• Work experience in designing and operating machine learning models and data pipelines.
• Work experience in building distributed or data intensive systems.
• Work experience in building CI/CD pipelines is a big plus.
• Advanced proficiency with Python, C++.
• Extensive knowledge of computer vision frameworks, libraries, data structures, data modelling, and software development.