GE Vernova
AI/ML Solutions Architect for Energy Systems
Job Description
Shape the future of energy with your expertise as an AI/ML Solutions Architect. Drive the design and deployment of machine learning and generative AI applications tailored for grid automation.
This highly specialized role demands not only technical acumen in AI/ML architecture but also the ability to lead projects from conception to execution. Collaborate with cross-functional teams to integrate advanced capabilities and create new solutions that enhance business efficiencies within the energy sector.
Key Responsibilities:
• Develop and architect advanced AI/ML solutions
• Establish guidelines for AI/ML development and deployment
• Build modular, cloud-native infrastructure with automation
• Optimize model performance in production environments
• Collaborate with teams to deliver integration solutions
Requirements:
• Bachelor’s degree in Computer Science or related field
• 7+ years in software engineering ...
This highly specialized role demands not only technical acumen in AI/ML architecture but also the ability to lead projects from conception to execution. Collaborate with cross-functional teams to integrate advanced capabilities and create new solutions that enhance business efficiencies within the energy sector.
Key Responsibilities:
• Develop and architect advanced AI/ML solutions
• Establish guidelines for AI/ML development and deployment
• Build modular, cloud-native infrastructure with automation
• Optimize model performance in production environments
• Collaborate with teams to deliver integration solutions
Requirements:
• Bachelor’s degree in Computer Science or related field
• 7+ years in software engineering ...