Design, train, and fine-tune ML models for payment optimization use cases — including authorization rate improvement, dynamic routing, cost minimization, and fraud signal detection.
Select and apply the right frameworks (PyTorch, TensorFlow, scikit-learn) per model type and latency budget.
