What you’ll do:
• Lead the end to end 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 model driven 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 end to end productionisation from data ingestion through deployment and ongoing model monitoring.
• Design, architect, and operate low latency, highly reliable cloud based 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 production scale performance.
What you'll bring
• Proven extensive lead level engineering experience delivering sports insights or sports data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery.
• Deep understanding of sports data, including hands on experience working with event data, tracking data, or other high volume sports datasets, and converting these into actionable analytical or predictive insights.
• Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata).
• Advanced Python expertise with strong hands on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.
• End to end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.
• Proven technical leadership experience including mentoring and guiding Senior and Mid Level Data Scientists both in their day to day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.
• Experience designing scalable, low latency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases.
• Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities
Strategy & Vision: Own the product roadmap for monetization capabilities, balancing short-term feature delivery with long-term platform scalability.
Platform Architecture: Build robust revenue infrastructure covering billing, commerce, subscription management, and revenue recognition (ASC 606).
Cross-Functional Leadership: Partner deeply with finance systems, accounting, tax, and revenue operations to ensure billing integrity and compliance.
Al & Automation: Champion agentic Al experiences and automated workflows that optimize the customer payment and upgrade journey.
Metrics & Analytics: Define success metrics, test, and utilize data-driven insights to optimize pricing models, reduce churn, and drive revenue growth.
Basic Qualifications
Experience: 8+ years of designing and delivering software infrastructure products and platforms in a technical or product management role.
Domain Knowledge: Understanding of B2B SaaS, Fintech, monetization ecosystems, partner management,
Preferred to know - Subscriptions, billing, pricing, payment gateways, and finance/accounting (ASC 606) principles.
Technical Skills: Familiarity with Agile development and the ability to partner with engineers and architects on secure, scalable APls and systems.
Education: Bachelor's degree in Software Engineering or related technical field;
Responsibilities
Key Responsibilities
Strategy & Vision: Own the product roadmap for monetization capabilities, balancing short-term feature delivery with long-term platform scalability.
Platform Architecture: Build robust revenue infrastructure covering billing, commerce, subscription management, and revenue recognition (ASC 606).
Cross-Functional Leadership: Partner deeply with finance systems, accounting, tax, and revenue operations to ensure billing integrity and compliance.
Al & Automation: Champion agentic Al experiences and automated workflows that optimize the customer payment and upgrade journey.
Metrics & Analytics: Define success metrics, test, and utilize data-driven insights to optimize pricing models, reduce churn, and drive revenue growth.
Basic Qualifications
Experience: 8+ years of designing and delivering software infrastructure products and platforms in a technical or product management role.
Domain Knowledge: Understanding of B2B SaaS, Fintech, monetization ecosystems, partner management,
Preferred to know - Subscriptions, billing, pricing, payment gateways, and finance/accounting (ASC 606) principles.
Technical Skills: Familiarity with Agile development and the ability to partner with engineers and architects on secure, scalable APls and systems.
Education: Bachelor's degree in Software Engineering or related technical field;
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
