Founding Senior Computer Vision Engineer

About the company
Our client does AI match analysis for youth football. Fixed cameras at the pitch record every session. The models detect the events (passes, shots, goals), track the players, and read jersey numbers off low-res footage. Academies and parents get match stats, highlights and a per-player record. This is running today at a pilot academy in Dubai, on real matches, with paying pilots. They are now taking the same stack into a second industry. First customers are committed; details in conversation. This hire owns the platform across both: making the live sports models better, and building the new product on the same foundations.

What you own
• The shared CV platform, end to end: camera ingestion, detection and tracking, OCR, classification, and the reporting pipeline. It powers a product in production today and a second one launching.
• From week one you ship to a live product: raising accuracy on the sports models with real users, while architecting the second industry's deployment on the same stack.
• Architecture: model selection and training strategy, annotation and dataset operations, evaluation methodology, the on-prem/cloud split.
• Shipping the new industry's first deployments, then hardening both products as one platform. • Technical leadership of the engineering team we build under you.

Hiring process
• Intro conversation: walk us through a CV system you built. Dec