Domain:
Computer Vision | EO & Thermal Imaging | Object Detection & Tracking | Edge AI
Freshers are not eligible. Candidates must be willing to relocate.
About this role
You will own the computer vision pipeline for real-time electro-optical systems used in defence applications.
You will work directly with
live EO and thermal camera feeds
and develop algorithms for detection, classification, tracking, image enhancement and camera alignment. The objective is not to demonstrate models on recorded datasets, but to make them work reliably on real hardware under changing range, motion, lighting, weather, background and thermal conditions.
Your algorithms will run on edge compute hardware and interface directly with embedded software and motion-control systems.
This is a
hands-on computer vision role
, not a data-science, web AI or research-only position.
What you'll be doingDetection & Tracking
Develop and optimise real-time object detection models for EO and thermal imagery
Develop robust single-object and multi-object tracking pipelines
Maintain reliable tracks through motion, partial occlusion, scale changes, clutter and temporary loss of detection
Implement target acquisition, track initiation, track confirmation, loss detection and reacquisition logic
Combine detector outputs with motion models and filtering techniques for smoother and more reliable tracking
Minimise false detections and track switching under difficult backgrounds and field conditions
EO & Thermal Vision
Work directly with live visible-spectrum and thermal camera feeds
Develop preprocessing and image-enhancement algorithms for low-contrast, low-light and thermally challenging scenes
Optimise detection and tracking independently for EO and thermal imagery
Develop image registration/alignment between multiple camera channels where required
Handle differences i