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 recent solutions that enhance business efficiencies within the energy sector.Key Responsibilities:Develop and architect advanced AI/ML solutionsEstablish guidelines for AI/ML development and deploymentBuild modular, cloud-native infrastructure with automationOptimize model performance in production environmentsCollaborate with teams to deliver integration solutionsRequirements:Bachelor's degree in Computer Science or related field7+ years in software engineering or AI/ML architectureDeep knowledge of machine learning frameworksHands-on experience with cloud development toolsStrong foundation in IoT and edge computingUtilize your skills to seamlessly integrate AI/ML solutions that improve efficiency and advance energy technologies.

📌 Ai/Ml Solutions Architect For Energy Systems (Markham)
🏢 GE Vernova
📍 Markham