Computer Vision Engineer (Machine Learning)

[Job ID: 1392251]Responsibilities:Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automated inspection processes.Implement deep learning-based vision models to support high-speed and high-accuracy inspection systems.Integrate vision solutions with robotics, automation platforms, and manufacturing equipment.Develop and enhance image processing techniques for pattern recognition, object tracking, and quality assurance applications.Collaborate with cross-functional teams to improve real-time inspection capabilities and production efficiency.Perform data analysis, model validation, and performance optimization to meet operational and quality standards.Optimize vision system performance with a focus on accuracy, robustness, and processing efficiency.Requirements:Bachelor's Degree in Computer Engineering, Physics, Mathematical, or a related discipline.Candidates without prior experience are welcome to apply.Knowledge in computer vision, image processing, and machine learning.Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.Knowledge of deep learning architectures such as CNNs, GANs, and Transformers for computer vision applications.Understanding of model architecture design, model fine-tuning, and performance optimization.Experience in semiconductor manufacturing, automation systems, optical inspection, or metrology is an added advantage.Knowledge of real-time processing, embedded systems, and hardware acceleration technologies such as CUDA and FPGA is an added advantage.We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.EA Personnel Name: Felicia Chiam Kar MinEA Personnel Reg. No.: R25152370EA Licence No.: 07C5771