Act as a Lead Data Scientist in a fraud detection team. Explain the architecture of a machine learning system designed to detect real-time credit card fraud. Discuss the types of algorithms used (e.g., Random Forest, Neural Networks), the importance of feature engineering (location, amount, time), and how to handle the challenge of imbalanced datasets.