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The Data Scientist will analyze complex datasets, develop machine learning models, and build ETL pipelines to drive business decisions. The role involves collaborating with cross-functional teams and communicating insights using Python, R, and various ML frameworks.
Deploy and maintain an AI platform across cloud GPU, managed services, and on-premise setups using Kubernetes, CI/CD, and cloud-native tools.
Build and maintain low-latency back-end systems for trading and clearing workflows using Java, focusing on performance tuning, concurrency, and operational reliability.
Designs and builds Java-based back-end systems for trading and clearing workflows in finance, focusing on scalability, reliability, and Linux-based automation.
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