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Senior ML Engineer
Responsibilities: — Design, build, and deploy production machine learning pipelines for energy market forecasting and grid analytics. — Collaborate with power systems engineers and analysts to deliver insights to clients. Requirements: — Experience with machine learning, time series forecasting, data pipelines, LLM, statistics, predictive analytics, grid optimization, agent-based modeling, weather forecasting, feature engineering, and energy markets. — Proficiency in Python and model deployment. Benefits: — Remote work. — Salary range $159,000 - $195,000 per year.