About the company
Our client does AI match analysis for youth football. 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. This hire owns the platform across both: making the live sports models better, and building the new product on the same foundations.
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.




• Technical leadership of the engineering team we build under you.
Technical deep-dive with senior engineers.
• Strong Python and PyTorch, hands-on with modern detection and tracking (YOLO family, ByteTrack/DeepSORT or similar).
• Video pipeline experience: Sports, retail, industrial or facility camera-analytics background.
• Edge deployment (Jetson or similar) and cost engineering of inference.
• Camera and IoT literacy: sensor and lens selection, PoE networking, ONVIF/RTSP, NVRs, weatherproof housings. Full-time. Remote friendly: we hire the best person, not the nearest. Working hours overlapping the Gulf, with travel to Dubai for installation and milestone weeks.

📌 Founding Senior Computer Engineer (España)
🏢 Flatgigs
📍 España