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 current 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 or AI/ML architecture
• Deep knowledge of machine learning frameworks
• Hands-on experience with cloud development tools
• Robust foundation in IoT and edge computing
Utilize your skills to seamlessly integrate AI/ML solutions that improve efficiency and advance energy technologies.
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📌 Ai/ml Solutions Architect For Energy Systems Ontario (Canada)
🏢 GE Vernova
📍 Canada
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