Senior AI/ML Data Scientist Computer Vision (Bengaluru)

What youll do

Lead the endtoend development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.

Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.

Integrate modeldriven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data.

Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own endtoend productionisation from data ingestion through deployment and ongoing model monitoring.

Design, architect, and operate lowlatency, highly reliable cloudbased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and productionscale performance.

What you'll bring

Proven extensive leadlevel engineering experience delivering sports insights or sports datadriven ML systems, with clear ownership of technical direction, mentoring, and delivery.

Deep understanding of sports data, including handson experience working with event data, tracking data, or other highvolume sports datasets, and converting these into actionable analytical or predictive insights.

Working knowledge of up-to-date ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).

Advanced Python expertise with strong handson use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into produ .