Lead Machine Learning Engineer

GE Vernova is seeking a Lead Machine Learning Engineer to drive innovation in grid automation and energy transition. This role combines cutting-edge AI technology with real-world impact on global energy systems. The position involves developing and deploying sophisticated machine learning models for grid innovation applications, working at the intersection of AI and power systems.

The ideal candidate will lead the development of AI/ML solutions that help decarbonize the world's electricity network and build the grid of the future powered by renewable energy. This role offers the unique opportunity to tackle UN SDG-7,13 and Energy Transition challenges while working with a diverse team of experts in product management, R&D, and various other functions.

The position requires deep expertise in machine learning, including supervised and unsupervised learning, reinforcement learning, and large language models. You'll be responsible for designing and implementing scalable AI solutions that can be deployed on both edge and cloud platforms. The role combines technical leadership with practical implementation, requiring both strategic thinking and hands-on development skills.

Working at GE Vernova means joining a company with a rich heritage and a forward-looking mission to electrify and decarbonize the world. You'll be part of a team that's tackling some of the most pressing challenges in energy transition, with access to significant resources and the opportunity to make a real impact on global energy systems.

This role offers excellent growth opportunities and the chance to work with cutting-edge technologies while contributing to meaningful environmental impact. The position comes with relocation assistance and the opportunity to work with a global team of experts in both AI and power systems.