You’ll join our existing AI engineer to divide and conquer the vision AI work as the company scales — the perception layer that turns multi-spectral camera feeds into reliable detection, tracking, and decision support for operators in the field. ‍ Experience 3–7 years in computer vision, deep learning, or perception systems.

Strong with PyTorch (or equivalent), classical CV (OpenCV), and edge model deployment (TensorRT, ONNX Runtime, or equivalent).

Hands-on production experience with object detection and multi-target tracking.

Image fusion, sensor calibration, or multi-sensor work is a plus. ‍ What You'll Do Build and ship production-grade vision models across our FX-Ground camera line: object detection, multi-target tracking, EO + thermal image fusion.

Own a slice of the perception roadmap end-to-end — training and evaluation through edge deployment on Jetson Orin hardware.

Drive OpenCV-based tooling: ISP support, day–night fusion, sensor calibration. Classical CV that complements modern deep learning.





Pick up cross-modal and RF fusion work as our radar partnership matures.

Use our internal simulation pipeline (FX-Sim) as a first-class part of the model-development loop — close the synthetic-to-real gap.

Partner with our FPGA / image-acceleration work on hardware-accelerated pipelines, and with the operator-experience team on inference deployment paths.

Get into the field — debug models against real captures and drive the data flywheel that makes every deployment better than the last. ‍ Backgrounds That Fit Mid-level perception engineer from defence, robotics, autonomous driving, or surveillance industry

Research-engineer profile from a robust CV lab (IIT / IIIT / equivalent)

ML engineer with strong classical CV foundations alongside modern deep learning ‍ Email us with aCV and a short note on what you’d want to build at FieldX.

Use the subject line: Application for AI Engineer: Vision Models & Fusion

📌 AI Engineer: Vision Models & Fusion (Goa)
🏢 FieldX
📍 Goa