AI Computer Vision Engineer for Face Recognition, KYC, ANPR & Video Analytics Platform

We are looking for an experienced AI and Computer Vision Engineer to develop a web-based platform capable of real-time face recognition, KYC verification, license plate recognition (ANPR), object tracking, theft detection, OCR, and video analytics. The system should process images, videos, and live camera feeds to automate identity verification, customer onboarding, security monitoring, vehicle tracking, and suspicious activity detection. The platform will include a modern dashboard for monitoring events, managing alerts, and generating analytics. Required Skills • Computer Vision • Artificial Intelligence • Deep Learning • Face Recognition • KYC Verification • OCR • License Plate Recognition (ANPR) • Object Detection & Tracking • Video Analytics • OpenCV • YOLO • Python • PyTorch • FastAPI • Streamlit or React Preferred Experience • Real-time surveillance systems • Identity verification and liveness detection • Retail theft detection • Vehicle tracking solutions • Enterprise AI applications This project is ideal for candidates with experience building scalable AI-powered Computer Vision solutions for security, fintech, retail, healthcare, recruitment, or smart city applications.