Founding Senior Computer Vision Engineer

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.
• Shipping the new industry's first deployments, then hardening both products as one platform.
• Technical leadership of the engineering team we build under you. 5+ years building computer vision systems that ran in production. 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.