Machine Learning Engineer
CurrentDevelop end-to-end machine learning pipelines to predict player performance metrics and game outcomes in the sports betting industry. Responsibilities encompass advanced data preprocessing, feature engineering, and model selection across NBA, NFL, and college football data. Leverage ensemble models, time-series cross-validation, and hyperparameter optimization to build robust models focused on decision accuracy and profitability. Additionally, incorporate custom metrics, thorough error analysis, and extensive feature interaction terms to optimize model performance. Employ XGBoost, and custom neural network architectures for nuanced insights into game trends and player impacts.