- 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 environments
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.