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This role builds and productionizes machine learning models, from classical methods to deep learning, for real-time performance analytics on large-scale streaming data. It covers forecasting, anomaly detection and AI-driven alerting on time series, processing data with Ray and Spark, and working with engineering and product teams. Candidates need a PhD or MS with 5+ years of experience, strong Python skills, and daily use of AI coding tools.