Computer Vision Engineer | Video Analytics

3 days ago

Hinobaan, Negros Occidental, Philippines Samriddhi Automations Pvt. Ltd. Full-time

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3–6 years

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AI Product Manager / Head of Software VA

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AI / Technical / Production-focused

Where this role sits

Sparsh is building an AI-driven video analytics stack covering ANPR, face recognition, people and vehicle analytics, intrusion and perimeter detection.

This role sits within the Software & Video Analytics (VA) team and works closely with product, backend, deployment and QA teams.

You will own computer vision models end‑to‑end, from dataset curation and model training to real-time inference and production deployment across large multi-camera sites.

The role

This role is:

What you’ll work on

Design, train and fine-tune detection, tracking, classification and recognition models for real-world surveillance use cases

Build inference pipelines for live RTSP/ONVIF camera streams using GStreamer, FFmpeg, DeepStream or equivalent technologies

Optimise models for edge and GPU deployment using quantisation, pruning, ONNX, TensorRT and OpenVINO/NPU toolchains

Own annotation guidelines, dataset versioning, augmentation, hard-negative mining and periodic retraining from field data

Production Integration

Expose video analytics through APIs, event schemas and metadata standards for NVR/VMS, dashboards and third‑party platforms

Who this role is for

3–6 years of hands‑on computer vision or deep learning experience, with at least 2 years in production video analytics or surveillance
B.Tech/M.Tech in Computer Science, Electronics or a related field
Strong Python and solid PyTorch or TensorFlow skills, with experience in OpenCV and NumPy
Comfortable with C++ for performance‑critical modules
Experience with object detection, multi‑object tracking, OCR/ANPR and/or face recognition pipelines
Hands‑on experience with ONNX, TensorRT, DeepStream/GStreamer, Docker and Linux
Understanding of RTSP/ONVIF, H.264/H.265 video codecs and camera imaging fundamentals

What you’ll learn here

How production‑grade computer vision models are built and deployed on real camera streams
How AI models are optimised for edge devices and GPU platforms
How video analytics systems are benchmarked across lighting, weather, camera angles and Indian scene conditions
How computer vision models integrate with NVR/VMS platforms and customer systems
How AI products move from proof of concept to production across large multi-camera sites
Work on India's first STQC-certified, Made-in-India surveillance platform deployed at national scale
Ship AI that runs in the real world on live camera streams and in the field
Gain full‑stack exposure across hardware, firmware, software and AI under one roof

Ready to build AI that works in the real world?

Computer Vision Engineer | Video Analytics

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Where this role sits

The role

What you’ll work on

Production Integration

Who this role is for

What you’ll learn here

Similar jobs in Hinobaan

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Computer Vision Engineer | Video Analytics

Save this job and keep your search organized

Where this role sits

The role

What you’ll work on

Production Integration

Who this role is for

What you’ll learn here

Similar jobs in Hinobaan

Related offers