Key Responsibilities
Develop and deploy Computer Vision models for:
Person & Vehicle Detection
Crowd Density Analysis
Face Recognition
Weapon Detection
Fire & Smoke Detection
Fighting & Suspicious Activity Detection
Multi-Object Tracking
Process live video streams from CCTV, RTSP cameras, and drones.
Train, fine-tune, and optimize AI models for production deployment.
Build scalable AI pipelines using cloud and edge computing technologies.
Collaborate with product and engineering teams to enhance AI Nirikshak capabilities.
Required Skills
Robust Python programming skills
Hands-on experience with OpenCV, PyTorch/TensorFlow
Experience with YOLO, Object Detection, Tracking, and Video Analytics
Knowledge of Deep Learning and Computer Vision techniques
Experience with Docker, FastAPI, and REST APIs
Familiarity with Azure/AWS cloud settings
Performance & Deployment
Deploy AI models using Docker and Kubernetes.
Perform model quantization and optimization for production deployment.
Improve model accuracy and reduce false positives/negatives.