Machine Learning Engineer

GE Vernova is at the forefront of transforming the global energy landscape, focusing on clean and affordable power solutions. As a Machine Learning Engineer, you'll be part of a team working on critical grid innovation applications and AI/ML models that directly impact the future of energy infrastructure. The role combines cutting-edge machine learning technology with practical applications in power systems and grid automation.

You'll work in the CTO organization, collaborating with product lines, R&D teams, and product management to develop and deploy AI solutions that drive efficiency and increase customer satisfaction. The position offers the opportunity to work on transformational applications that address UN SDG-7,13 and Energy Transition challenges.

The ideal candidate should have strong expertise in machine learning frameworks, experience with production deployments, and understanding of power systems. You'll be responsible for developing and optimizing AI/ML models for both edge and cloud deployments, ensuring scalability and security while maintaining high performance.

This role offers the unique opportunity to make a real impact on global energy transition and decarbonization efforts. You'll be working with state-of-the-art technologies while contributing to solutions that help build the grid of the future powered by renewable energy. The position requires both technical expertise in AI/ML and the ability to collaborate effectively with cross-functional teams.

Working at GE Vernova means being part of a company with a rich legacy of innovation while focusing on creating a sustainable energy future. The company's mission is embedded in its name, combining GE's historical excellence with a commitment to green energy solutions ("Ver"/"verde") and innovation ("Nova").