We’re looking for a skilled Computer Vision Engineer to develop a real-time scanning pipeline capable of interpreting dynamic codes instantly. Your expertise will help us build a robust system that processes visual data with high accuracy and speed. Responsibilities: Design and implement real-time computer vision algorithms for dynamic code recognition. Optimize existing models for speed and accuracy in live environments. Work with streaming data to ensure low-latency processing. Collaborate with our team to integrate the solution into our existing infrastructure. Requirements: Strong experience in computer vision OpenCV and deep learning frameworks TensorFlow PyTorch. Proficiency in Python or C++ for real-time systems. Familiarity with edge computing and optimizing models for performance. Experience with dynamic object detection and tracking. Preferred: Background in augmented reality or real-time video processing. Knowledge of GPU acceleration CUDA OpenCL. Project Details: Remote freelance position. Flexible hours project-based engagement. Opportunity for long-term collaboration.