Machine Learning Engineer – AI for Grid Innovation & Energy Transition

GE Vernova is at the forefront of the energy transition, seeking a Machine Learning Engineer to join their AI & Grid Innovation team. This role combines cutting-edge AI/ML development with practical applications in the energy sector, focusing on grid innovation and energy transition. The position offers an opportunity to work on impactful projects that shape the future of sustainable energy systems.

The role involves developing and deploying AI/ML models specifically designed for grid innovation applications, working both at the edge and in the cloud. Reporting to the AI Director within the CTO organization, you'll collaborate with Grid Automation product lines, R&D teams, and other business units to create sustainable solutions across energy systems.

The ideal candidate will bring substantial experience in the energy or industrial automation sectors, combined with strong AI/ML expertise. Key responsibilities include leading the development of scalable AI models, creating analytics for grid system optimization, and implementing MLOps practices for production deployment.

GE Vernova offers a collaborative environment where innovation is valued and contributions make tangible impact. The company provides competitive benefits, including private health insurance, development opportunities, and flexible work arrangements. This role presents a unique opportunity to contribute to the global mission of electrifying and decarbonizing the world while working with cutting-edge technologies in a dynamic, international setting.

The position requires a Master's or PhD degree and demonstrated expertise in both AI/ML techniques and energy sector applications. You'll be working with modern ML frameworks, cloud platforms, and will need to balance technical excellence with business acumen to deliver solutions that meet diverse customer needs.