AI Product Manager
TUYA(T)
1. Data Collection and Analysis: Gather and process large datasets from energy monitoring systems, IoT sensors, and other sources to create a comprehensive view of energy consumption. Perform in-depth analysis to identify usage patterns, inefficiencies, and areas for potential savings. 2. AI and Machine Learning Model Development: Design, implement, and optimize machine learning models to predict energy demand, production, forecast costs, and identify anomalies in energy usage. Develop AI-powered algorithms for automated energy control and real-time optimization based on consumption trends, real-time tariffs, and environmental data. 3. Automation of Energy Management Processes: Work closely with the automation team to design and deploy automated systems for energy management, including load balancing, scheduling, and smart grid interactions. Implement AI-driven solutions to enable self-regulating energy systems that respond dynamically to changes in consumption. 4. Reporting and Visualization: Create dashboards and data visualizations that communicate energy usage trends, efficiency metrics, and automated insights for stakeholders. Generate regular reports highlighting AI-driven findings, energy savings, and potential areas for improvement. 5. Collaboration and Cross-Functional Engagement: Partner with energy engineers, IT, and sustainability teams to align AI-driven insights with energy management objectives. Collaborate with technical teams to integrate AI solutions with existing energy management systems and IoT devices. 6. Continuous Improvement and Innovation: Stay current with advancements in AI, machine learning, and energy analytics to identify and implement cutting-edge solutions. Test and refine models and algorithms to improve their accuracy, scalability, and effectiveness in real-world energy applications.
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$10,000 per month
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