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Computer Vision Engineer

Build the vision systems — face attendance, CCTV analytics, number plate recognition and quality inspection — and make them work in bad Indian lighting.

Experience
2–5 years
Type
Full-time
Location
Vashi, Navi Mumbai (on-site)

What you'll do

  • Train and tune detection models on client-site data
  • Build real-time pipelines over RTSP camera feeds
  • Deploy to edge hardware where footage cannot leave the premises
  • Benchmark accuracy honestly before go-live
  • Handle consent capture and retention for biometric data under the DPDP Act

What we need

  • Python
  • OpenCV
  • YOLO or similar detection architectures
  • ONNX / TensorRT optimisation

Nice to have

  • NVIDIA Jetson deployment
  • ANPR for Indian plate formats
  • Multi-camera tracking

Apply

Email your CV and — more importantly — a link to something you have built. A working thing beats a formatted CV every time.

Groma House, B-307, Sector 19, Vashi, Navi Mumbai, Maharashtra 400703
Mon–Sat, 9:00 AM – 7:00 PM IST