ML/AIEngineer

## 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