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
🏢 Kedia Hardware
📍 Kolkata