Machine Learning Engineer

GE Vernova is at the forefront of addressing global energy challenges, focusing on electrification and decarbonization of the world's power systems. As a Machine Learning Engineer, you'll be part of a transformative mission to reshape the energy industry through AI innovation. The role involves developing and deploying cutting-edge ML models for grid innovation applications, working with state-of-the-art technologies and frameworks.

You'll be joining a dynamic team within the CTO organization, collaborating closely with product lines, R&D teams, and product management to drive efficiency and increase customer satisfaction. The position offers hands-on experience with both edge and cloud-based systems, working on critical problems that directly impact the future of energy infrastructure.

The ideal candidate will combine technical expertise in ML/AI with an understanding of power systems and industrial applications. You'll be responsible for the entire ML lifecycle, from model development to production deployment, ensuring scalability and performance optimization. This role offers unique opportunities to work on real-world applications of AI in the energy sector, contributing to sustainable development goals and energy transition challenges.

Working at GE Vernova means being part of a company with a rich legacy of innovation while focusing on future-oriented solutions. The company's mission is reflected in its name, combining GE's historical excellence with a commitment to environmental sustainability ('Ver'/'verde') and innovation ('Nova'). This role provides an excellent opportunity for someone passionate about applying AI to solve significant global challenges in the energy sector.

The position requires strong technical skills, collaborative abilities, and a proactive approach to problem-solving. You'll be working in a multi-tasking environment that values flexibility and adaptability, with opportunities to influence the direction of AI applications in grid innovation. The role offers exposure to cutting-edge technologies and the chance to make a meaningful impact on global energy transformation.