Job Description
Responsibilities
- Lead the technical strategy and delivery of production machine‑learning systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans.
- Shape roadmap, architecture, and platform evolution for critical ML domains such as live sports insights, real‑time ranking, computer‑vision for multi‑angle video, and streaming inference.
- Mentor engineers and data scientists, raising the bar across teams.
- Design, develop, and operationalise AI solutions using computer vision, machine learning, generative AI, and data science to enable automated sports metadata generation and key‑event detection in live content streams.
- Generate actionable insights for player performance, contextual statistics, and injury risk while embedding responsible and ethical AI principles throughout the design‑to‑deployment pipeline.
- Integrate model‑driven insights into person...