Overview

AI/ML Engineer role in Faridabad, Ghaziabad, Delhi, Noida, Gurgaon with focus on sports analytics and predictive modeling.

Responsibilities

• Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics
• Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions
• Train and fine-tune reinforcement learning models for strategic cricket decision-making
• Design models to analyze player form, team strengths, matchups, and opposition weaknesses
• Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form
• Extract insights from match footage and live tracking data using deep learning-based video analytics
• Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds
• Build data pipelines (ETL) for real-time and historical data ingestion
• Deploy ML/DL models into production environments (AWS, GCP, Azure etc)
• Develop APIs to serve predictive models for real-time applications
• Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement

Qualifications

• Experience in machine learning or deep learning
• Experience with time-series forecasting methodologies (LSTMs, Transformers)
• Understanding of ETL processes and big data tools (Spark, Hadoop, Dask)
• Deployment experience on cloud platforms (AWS, GCP, Azure)
• Knowledge of model monitoring, evaluation metrics (MAE, RMSE, ROC-AUC), and explainable AI

Nice to have

• Experience in cricket analytics
• Familiarity with video analytics
• Knowledge of reinforcement learning