Video Intelligence / Computer Vision Expert

Experience: 5+ years

Role: Full-time

We are looking for a solid Computer Vision / Video Analytics Engineer who can independently build reliable video intelligence tools from CCTV and recorded video feeds.

Key skills

- Python and OpenCV

- YOLO, object detection and tracking

- Computer vision and video analytics

- RTSP, CCTV and IP camera integration

- Object detection, counting and tracking

- Multi-camera video processing

- Model training, fine-tuning and optimization

- Edge and on-premise deployment

- Linux, Docker and Git

- Performance optimization for low-compute hardware

Key deliverables
- Convert business requirements into working video analytics modules

- Build and deploy detection, tracking, counting and event-detection systems

- Process live and recorded CCTV feeds

- Optimize models for reliable real-world deployment





- Create configurable analytics pipelines for different cameras and use cases

- Integrate analytics outputs with APIs, databases and reporting systems

- Test accuracy and continuously reduce false positives and false negatives

KPIs
- Accuracy and reliability of deployed analytics

- False-positive and false-negative rates

- Processing speed and hardware efficiency

- Time from requirement to working deployment

- Stability of production systems

- Number of successfully deployed video analytics modules

Required experience

At least 5 years of hands-on experience in computer vision or video analytics.

We are looking for a builder who can independently take a video analytics problem from requirements through development, testing and deployment.

Work Location: In person

📌 Computer Vision / Video Analytics Engineer (Kolkata)
🏢 Viraya SKAI
📍 Kolkata