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Lead Machine Learning Engineer

GE Vernova focuses on electrifying the world while working to decarbonize it, specializing in clean energy solutions and power systems.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Energy

Description For 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/ML development with real-world impact on sustainable energy solutions. The position involves building and deploying ML models for grid innovation applications, working closely with product lines and R&D teams. The ideal candidate will have extensive experience in machine learning, with particular focus on power systems and industrial applications. This is an opportunity to directly contribute to decarbonizing the world's electricity network and building the future of clean energy infrastructure. The role offers the chance to work with state-of-the-art technologies while tackling significant global challenges in energy transition. The position requires both technical expertise in ML/AI and domain knowledge in power systems, making it a unique opportunity for someone passionate about applying advanced technology to solve critical energy challenges. The company provides a collaborative environment working with cross-functional teams and offers relocation assistance for the right candidate. This role is perfect for someone who wants to make a meaningful impact on global energy systems while working with cutting-edge AI technology.

Last updated 3 hours ago

Responsibilities For Lead Machine Learning Engineer

  • Design and deploy scalable AI/ML models and applications on edge or cloud
  • Monitor, maintain, and optimize deployed AI/ML models
  • Develop and implement strategies for optimizing model performance in production
  • Collaborate with cross-functional teams to develop innovative solutions
  • Define framework to collect and structure databases for AI
  • Develop AI/ML applications to build differentiated products and solutions

Requirements For Lead Machine Learning Engineer

Python
  • Masters/PhD Degree in computer science, IT, or electrical engineering
  • 8+ years of professional working experience
  • Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience in MLOps and production environment deployment
  • Knowledge of statistical techniques, AI and ML including supervised, unsupervised, reinforcement learning
  • Experience with microservices architecture and containerization technologies
  • Strong communication and organizational skills

Benefits For Lead Machine Learning Engineer

Relocation Benefits
  • Relocation Benefits

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