ML/AI Engineer at Nahc

<p data-start="415" data-end="608">Our client is a fast-growing AI technology company that is building next-generation computer vision and edge AI solutions for large-scale real-world environments across global markets.</p> <p data-start="610" data-end="839">With deployments already spanning Asia, Europe, and North America, the team is focused on solving operational challenges through practical AI applications that combine machine learning, edge computing, and intelligent automation.</p> <p data-start="841" data-end="1032">This is an opportunity to join a highly technical and fast-moving engineering team where you will play a key role in taking AI solutions from experimentation into production-scale deployment.</p> <p data-start="1047" data-end="1217">They are looking for an experienced ML Engineer with strong computer vision expertise to help design, train, optimise, and deploy AI models used in real-world environments.</p> <p data-start="1219" data-end="1452">This role goes beyond pure model training - you will work closely with engineering and product teams to improve system decision-making, validate model performance, and ensure production readiness across complex operational scenarios.</p> 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