ML/AI Engineer

What you will do: Develop and improve computer vision and deep learning models for production applications

Work on detection, tracking, and re-identification related tasks

Build reliable evaluation, benchmarking, and validation workflows

Optimise model performance for real-world deployment environments

Collaborate with backend, platform, and product teams to integrate AI capabilities into production systems

Analyse model performance, troubleshoot issues, and improve system reliability

Contribute to tooling, experimentation pipelines, and technical decision-making

Support continuous iteration through data-driven experimentation and validation

What you will need: Strong Python development skills with solid software engineering practices

Hands-on experience with deep learning and computer vision

Practical experience in areas such as:

Object Detection

Multi-object Tracking

Re-Identification

Strong understanding of model evaluation methodologies and CV metrics

Experience exporting and validating models using ONNX or similar frameworks

Comfortable troubleshooting model, data, or inference-related issues

Ability to work across both ML research and engineering implementation

Comfortable using AI-assisted development tools effectively

Good English communication skills for collaboration with international teams

Nice-to-haves: Experience with Vision-Language Models (VLMs)

Video-based or multi-camera AI systems

OpenVINO optimisation and quantisation (FP16 / INT8)

Real-world AI deployment experience in industries such as retail, manufacturing, or smart environments

Experience maintaining ML evaluation or benchmarking pipelines