GRID esports

Machine Learning Engineer

• Convert existing model training code into reproducible, automated pipelines (experiment tracking, model versioning, automated retraining), following ML best practices
• Work on algorithms and probabilistic market-derivation logic that powers our live predictions
• Define evaluation metrics, build backtesting frameworks, and monitor model performance in production
• Serve models via a Python microservices stack
• Work with the product team to define new betting markets and the statistical models that support them

Senior Machine Learning Engineer – Esports