ML Engineer (Renewable Energy Systems)

The client is a U.S.-based renewable energy company founded in 2012, headquartered in Washington, D.C. Their mission is to make 100% clean, pollution-free energy accessible to homes and businesses—without requiring hardware installations or utility provider changes. Customers continue using their existing utility, while the company ensures their electricity consumption is offset by renewable sources such as regional wind and solar.

Project Description

The project focuses on building, maintaining, and optimizing data pipelines and machine learning models to support business intelligence, forecasting, and energy consumption analytics. The goal is to modernize data flows by transitioning pipelines from Redshift to Snowflake, enhance orchestration using modern workflow tools, and improve model accuracy and performance for better decision-making and customer experience.

Technologies

• SQL
• Snowflake
• Redshift
• Python
• NumPy
• SciPy
• Scikit-learn
• Jupyter
• Git
• GitHub
• FastAPI

What You'll Do

Job Requirements

Nice To Have

What Do We Offer

The global benefits package includes :

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