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Work on designing, training, and deploying scalable ML models for credit risk, fraud detection, and personalization. Build ML pipelines for low-latency inference, automate experimentation and hyperparameter tuning, support full ML lifecycle (feature engineering, evaluation, A/B testing, monitoring for drift), and experiment with deep learning and reinforcement learning techniques while ensuring compliance and scalability in a fast-growing FinTech.