Computer Vision & Object Tracking Specialist

We are seeking a talented Computer Vision Developer to join our team for an innovative, upcoming sports web platform. You will be responsible for developing core tracking and segmentation features designed for sports video analysis (specifically tailored for football). ​Key Responsibilities: ​Object Tracking: Build and refine high-accuracy algorithms to track players, the ball, and pitch elements in real-time or post-match footage. ​Isolation & Segmentation: Accurately isolate and separate individual entities, even during complex player overlaps or dense pitch scenes. ​Visual Overlays & Shapes: Render clean geometric shapes, tactical zones, field vectors, and dynamic indicators seamlessly onto video frames. ​Smooth Motion & Rendering: Ensure fluid visual tracking, zero jitter, and stable rendering across high-speed camera pans and rapid movements. ​Feasibility & Architecture: Evaluate concept viability, brainstorm technical solutions, and help shape scalable feature implementations. ​Requirements: ​Strong expertise in Computer Vision, OpenCV, Deep Learning tracking architectures (e.g., YOLO, DeepSORT, ByteTrack), and image segmentation. ​Prior experience in sports analytics or football video processing is highly preferred. ​Proven ability to deliver production-ready code strictly on schedule. ​Strong communication skills and willingness to collaborate on platform architecture.