Machine Learning Engineer
Core
Build intelligence systems for peak shaving, load behavior, utility signals, and storage opportunities using AI agents to research, extract, compare, reason, and propose next steps for grid data.
Role type
Machine Learning Engineer (Energy Grid Optimization)
Builds
Decision systems for grid infrastructure and energy storage
Domain
Energy Systems / Power Grids / Utility Data
Deliverable
production ML models
Required skills
Machine Learning, AI Agents, LLMs, Grid Data Analysis, Optimization, Anomaly Detection, Forecasting, Agentic Workflows
Preferred skills
Energy Storage, Electricity Markets, Tariff Analysis, Load Analysis, AI-assisted Research Systems
Technologies
Agents, LLMs, Automation Tools
Responsibilities
Build intelligence around peak shaving and load behavior; Create agents that research and propose next steps; Turn grid data into decision systems; Use AI aggressively and audit it; Invent new workflows for the industry.