Join a forward-thinking team as a Machine Learning Engineer specializing in energy forecasting. Create innovative models for solar and wind power, enhancing operational efficiency through advanced analytics.

This position focuses on developing machine learning models that support real-time operations and long-term planning. You will be instrumental in building robust digital twin platforms, handling a variety of data sources, and collaborating with engineers and researchers to deliver impactful solutions. A strong background in machine learning and programming is essential.

Key Responsibilities :

• Design and implement machine learning models for energy
• Develop components for renewable energy digital twins
• Engage with diverse data sources such as SCADA signals
• Work closely with engineering teams for successful outcomes
• Create production-ready machine learning applications

Requirements

• Advanced degree in Machine Learning or related field
• Expertise in Python and deep learning frameworks
• Knowledge in computer vision applications
• Experience in physics-informed model development
• Proven ability to utilize industrial sensor data

Transform the renewable energy landscape with your machine learning expertise, driving innovation in forecasting and analytics.

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