About this role
• 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
• 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
• 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
• 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
• 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
Tech stack
Python
About nahc.io
nahc.io is hiring for the ml/ai engineer role. NewJob aggregates active openings directly from nahc.io's applicant tracking system, so this listing is current.
More jobs at nahc.io →