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Senior Machine Learning Engineer

GE Vernova focuses on electrifying the world while working on decarbonization, delivering clean and affordable power solutions.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
9+ years of experience
AI · Enterprise SaaS · Energy

Description For Senior Machine Learning Engineer

GE Vernova is seeking a Senior Machine Learning Engineer to join their mission of electrifying and decarbonizing the world's energy systems. This role offers a unique opportunity to work on cutting-edge AI applications in the energy sector, specifically focusing on grid innovation. The position involves developing and deploying machine learning models for critical power system applications, working with state-of-the-art technologies and frameworks.

The ideal candidate will be responsible for building and deploying grid innovation application AIML models, developing proof-of-concepts, and working closely with various teams including R&D, product management, and other functions. This role requires expertise in machine learning frameworks, deep learning, and production deployment experience, combined with an understanding of power systems.

The position offers the chance to make a real impact on global energy transition challenges, working with UN SDG-7,13 initiatives. You'll be part of a team that's pushing the boundaries of AI application in the energy sector, developing solutions for predictive maintenance, load forecasting, and other critical power system applications.

Working at GE Vernova means joining a company with a rich heritage and a forward-thinking approach to energy solutions. The role provides opportunities for professional growth, mentoring others, and contributing to innovative solutions that address global energy challenges. The company's commitment to clean energy and decarbonization makes this an exciting opportunity for someone passionate about both technology and environmental impact.

Last updated 19 hours ago

Responsibilities For Senior 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 ML 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
  • Guide and mentor team members

Requirements For Senior Machine Learning Engineer

Python
  • Masters/PhD Degree in computer science, IT, or electrical engineering
  • 9+ years of professional working experience
  • Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with MLOps and production deployment
  • Knowledge of statistical techniques, AI and ML
  • Experience with Linux virtualized system deployment
  • Understanding of data structures, data modeling and software architecture
  • Experience with microservices architecture and containerization
  • Strong communication and organizational skills

Benefits For Senior Machine Learning Engineer

Relocation Benefits
  • Relocation Benefits

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