Relae

Machine Learning Engineer

• Design, build, train, and maintain production machine learning models
• Identify, gather, and validate power-sector datasets, including uncertainties and data gaps
• Develop analytical approaches to mitigate data gaps
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics
• Ingest data from ISO, utility, and weather sources
• Perform feature engineering, model training, evaluation, deployment, and monitoring
• Productionize nodal price, load, and renewable generation forecasting and optimization models
• Implement robust testing, observability, documentation, and automated evaluations
• Collaborate with software engineers, data scientists, energy economists, power systems engineers, and energy market analysts
• Translate research insights and domain expertise into scalable forecasting and optimization systems
• Contribute to technical design reviews, coding standards, and mentoring of best practices

Explore Senior ML Engineer at Relae. Review requirements and application details.

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Senior ML Engineer