Technical Officer, AI Development

• Design and develop machine learning/deep learning models for object detection, semantic/instance segmentation and recognition, computer vision, and LLM
• Take responsibility for all tasks, ranging from data collection to algorithm launch
• Ensure optimal algorithm performance
• Conduct research and exploration of state-of-the-art AI algorithms for industrial image processing and LLM
• Execute R&D tasks according to plans and complete projects on schedule, maintaining high standards for deliverables such as R&D work, project documents, technical reports and papers, patents, etc.
• Perform programming tasks
• Provide support for ad hoc projects and assignments when required

• Hold a Master's or Bachelor's degree in disciplines such as Computer Engineering, AI, Computer Science, Intelligent Systems, or Information Engineering
• Project experience in R&D related to machine vision inspection, image processing, deep learning, and related areas
• Hands-on programming skills in C++ and Python, as well as proficiency in deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with neural network quantization using TensorRT is a plus
• Experience with OpenCV and deep learning models, including CNN, RNN, Transformers, and YOLO, for object detection, segmentation, and classification
• Familiarity with using GitHub, Bitbucket, or Docker for project development is advantageous
• Additional programming experience in front-end or back-end development, or familiarity with other programming languages, is a plus
• Experience in developing industrial-grade software, preferably for robotic projects
• With excellent problem-solving skills and the ability to coordinate the efforts of disparate groups to achieve a common goal
• Demonstrate good presentation, communication, and interpersonal skills, along with a sense of responsibility
• Passionate, self-motivation, and with the ability to work under pressure and meet tight deadlines

Note:

1. Applicant may be considered for other positions if not matching the requirements of the subject position.
2. This is a position funded by the Research Talent Hub Programme under the Innovation and Technology Fund (ITF) to conduct R&D project.