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Lead Machine Learning Engineer

GE Vernova focuses on electrifying the world while working to decarbonize it, addressing climate crisis through innovative energy solutions.
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 development with real-world impact on global energy systems. The position involves building and deploying AIML 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 sustainable energy solutions and the future of power grid technology. The role offers the chance to work on critical problems in energy infrastructure while leveraging advanced AI/ML techniques. Based in Hyderabad, the position requires both technical expertise and leadership skills, working with cross-functional teams to drive innovation in power system solutions. GE Vernova's mission focuses on electrifying and decarbonizing the world, making this role crucial for anyone passionate about combining AI expertise with environmental impact. The company provides relocation assistance and the opportunity to work with cutting-edge technology in a global organization committed to addressing climate change through innovative energy solutions.

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
  • 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
  • Experience with microservices architecture and containerization
  • Strong communication and organizational skills

Benefits For Lead Machine Learning Engineer

Relocation Benefits
  • Relocation Benefits

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