Senior Machine Learning Engineer

GE Vernova is at the forefront of transforming the global energy landscape, focusing on clean and affordable power solutions. As a Senior 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 distribution and management.

The role combines cutting-edge machine learning technology with practical applications in the power systems domain. You'll be working within the CTO organization, collaborating with various teams including R&D, product management, and Grid Automation (GA) business units. Your work will directly contribute to developing solutions that drive efficiency, increase customer satisfaction, and solve critical problems in the energy sector.

Key responsibilities include developing and deploying AI/ML models for both edge and cloud environments, optimizing model performance, and ensuring scalable, secure implementations. You'll work with various technologies including TensorFlow, PyTorch, and cloud platforms, while applying your expertise in areas such as predictive maintenance and load forecasting.

The ideal candidate brings a strong academic background (Masters/PhD) in computer science or related fields, combined with 9+ years of professional experience. You should have deep expertise in machine learning algorithms, frameworks, and production deployment, along with an understanding of power system protection and automation.

This position offers the unique opportunity to work on transformational projects that directly impact global energy transition and sustainability goals. You'll be part of a company that's committed to both electrifying and decarbonizing the world, making a real difference in addressing climate change through innovative technology solutions.