We are looking for an AI Engineer (Computer Vision) to design and deploy intelligent video analytics solutions using CCTV feeds. The role focuses on analyzing real-time and recorded video to extract insights such as attention levels, engagement, movement patterns, posture, and overall group behavior. You will work closely with data scientists, backend teams, and product managers to build scalable, privacy-aware AI systems.

Key Responsibilities

Develop and deploy computer vision models for CCTV-based video analytics
Analyze gaze, posture, facial expressions, movement, and crowd behavior
Build real-time and batch video processing pipelines
Train, fine-tune, and optimize deep learning models for production
Convert visual signals into actionable insights & dashboards
Ensure privacy, security, and ethical AI compliance
Improve model accuracy, latency, and scalability




Collaborate with engineering teams for end-to-end deployment

Required Skills

Strong experience in Computer Vision & Deep Learning
Proficiency in Python
Hands-on experience with OpenCV, TensorFlow, PyTorch
Knowledge of CNNs, object detection, tracking, pose estimation
Experience with video analytics & CCTV data
Understanding of model optimization and deployment

Valuable to Have

Experience with real-time video streaming (RTSP, CCTV feeds)
Familiarity with edge AI or GPU optimization
Exposure to education analytics or surveillance systems
Knowledge of cloud deployment (AWS/GCP/Azure)

Skills:- Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Image Processing and Cloud Computing

📌 AI Engineer â CCTV (India)
🏢 CNV Labs India(iCloudEMS
📍 India