Real-Time Video Analytics Algorithms

Project Description

We are looking for an experienced Full-Stack + Computer Vision Engineer to build a multi-tenant SaaS platform for real-time video analytics.

The system will ingest RTSP/ONVIF camera streams, run real-time AI detection (person, vehicle, intrusion, loitering, unattended objects), generate alerts, store snapshots/clips, and provide dashboards, reports, and forensic search.

A detailed FRD is ready.

Required Skills:

Real-time video processing (RTSP, GStreamer, FFMPEG, ONVIF)
AI/Computer Vision (YOLO, TensorRT, DeepStream, OpenVINO, CUDA)
GPU-accelerated inference pipelines
Multi-tenant SaaS backend (Node.js / Python / Go)
Cloud deployment (AWS/GCP)
Databases: PostgreSQL/MongoDB, Redis
Frontend: React or Vue
Experience building similar video analytics systems is mandatory

Who Should Apply

DO NOT APPLY if you don’t have previous experience in video analytics / AI surveillance systems.
ONLY APPLY if you have built similar platforms and can share samples, demos. Show More

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