Senior Machine Learning Engineer

About the role

Weekday AI's sports intelligence team builds predictive models that power real-time analytics for live match data. The Senior Machine Learning Engineer designs, validates, and deploys statistical and machine learning models, defines performance metrics, and collaborates with data and backend engineers to integrate models into production. Mumbai, India, on-site role focusing on model development, feature engineering, and stakeholder communication.

What you’ll do

• Design, build, and validate predictive and descriptive models over live and historical sports data
• Define performance metrics and rating systems and defend methodology to stakeholders
• Own feature engineering and analytical datasets from data marts
• Establish validation, backtesting, and monitoring for real-time model outputs
• Take models from prototype to production with data and backend engineers
• Investigate model failures and drift, improving accuracy and robustness

What you’ll bring

• 5+ years building statistical or machine learning models in production
• Strong Python and SQL proficiency
• Applied statistics expertise (probabilistic modeling, regression, time-series)
• Experience with feature engineering on large event datasets
• Ability to explain model methodology to non‑technical audiences

Skills