AI Engineer (Computer Vision)

AI Engineer (Computer Vision)

Build AI That Works in the Real World

We are looking for an

AI Engineer (Computer Vision)

to help bring AI and computer vision technologies from the lab into real-world applications.

You’ll work with cameras, video streams, AI models and edge computing platforms to build solutions that can

see, analyse and respond to what is happening in the real world .

If you enjoy working across software, AI and hardware — and like solving problems where things don't always work perfectly the first time — this could be a great fit.

What You'll Be Doing

Deploy and integrate

computer vision and AI models

on edge devices, GPU systems and AI platforms.

Build and maintain

real-time video processing

applications.

Connect and work with video streams from

IP cameras, NVRs and other camera systems .

Work with AI models using technologies such as

PyTorch, ONNX and TensorRT .

Improve system performance, including

speed, latency, GPU utilisation and multi-camera processing .

Deploy solutions on platforms such as

NVIDIA Jetson, industrial PCs, GPU servers and AI Boxes .

Connect AI results to

APIs, databases, dashboards and alarm systems .

Troubleshoot issues across video, software, hardware, networking and system performance.

Develop reusable tools and components for video streaming, AI inference, monitoring and system configuration.

Work closely with

Computer Vision and R&D engineers

to bring new AI models into working products.

What We’re Looking For

Degree in

Computer Science, Computer Engineering, AI

or a related field.

Good programming skills in

Python .

Hands-on experience with

OpenCV and video processing .

Basic understanding of

computer vision and AI/deep learning inference .

Experience deploying applications in a

Linux environment .

Understanding of

RTSP, video codecs, FPS, resolution and real-time video .

Good troubleshooting and problem-solving skills.

Some experience working with

GPUs or hardware-accelerated AI .

It Would Be Great If You Also Have

Experience with any of the following:

ONNX Runtime | TensorRT | CUDA | FFmpeg | GStreamer | NVIDIA DeepStream | Docker | REST API | MQTT | NVIDIA Jetson | AI Accelerators | CCTV / IPC / NVR / VMS | Multi-camera Systems

Experience with model optimisation such as

FP16, INT8 or quantisation

is also a plus.

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