Computer Vision Engineer

Job Overview:

We are hiring an AI Engineer for an execution-driven role to implement a GPU-powered, real-time video analytics solution for a high-scale retail business.

Key Responsibilities:

• Integrate AI video analytics with live RTSP CCTV feeds (multi-camera environments)
• Build real-time detection & tracking for people, objects, and behaviors.
• Develop visual overlays, alerts, and live dashboards.
• Handle multi-camera setups, poor lighting, and crowd conditions.
• Deploy & optimize inference on GPU servers (edge / local deployment, no cloud dependency).
• Ensure low-latency, multi-stream processing across cameras.
• Work closely with our internal AI & Product teams for on-ground execution.

Required Skills:

• Strong expertise in Computer Vision & Real-Time Video Processing.
• Hands-on with YOLOv5/v8/v11, OpenCV, TensorFlow or PyTorchProven experience in CCTV/RTSP feed integration.
• Skilled in GPU-based inference optimization (NVIDIA CUDA/TensorRTpreferred).
• Familiarity with real-world video challenges (occlusion, lowlight, fast motion, crowded spaces).
• Experience in multi-stream video analytics on GPU servers(NVIDIAA100/T4/RTX class or similar).
• Ability to deploy on-site GPU servers and ensure stable 24x7 operation.
• Excellent problem-solving skills and strong attention to detail.
• Ability to manage multiple projects and deliver high-quality outcomes within deadlines.
• Good communication and collaboration skills.

Job Types: Full-time, Permanent

Pay: ₹50,000.00 - ₹60,000.00 per month

Experience:

• AI Engineer: 4 years (Required)

Work Location: In person