DESCRIPTION:
Duties: Build and train production-grade Machine Learning on large-scale datasets to solve various business use cases for Global Banking. Use large scale data processing frameworks for feature engineering and be proficient across various data, both structured and unstructured. Use Deep Learning models and Generative AI techniques for solving various business use cases including multi-source data fusion, information retrieval, question-answering, forecasting and anomaly detection. Build ML models across Public and Private clouds including container-based Kubernetes environments. Develop end-to-end ML pipelines necessary to transform existing applications and business processes into robust Artificial Intelligence systems. Build both batch and real-time model prediction pipelines with existing application and front-end integrations. Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and...