Mission: Enable data-driven energy optimization using ML and IoT Manage ML use cases life cycle Turn each ML use case into a reusable ML library included in the offer‑creation services Collaborate with other execution teams and provide necessary inputs and support Key responsibilities: Analyze historical and real-time IoT data for performance insights Collaborate with Energy Efficiency Consultant to share / review findings related to energy optimization opportunities Assess data quality, perform feasibility studies (Remote / Onsite), and validate possibility of ML model based optimization for identified optimization opportunities Use low-code/no-code Analytics platforms to build and deploy models Manage ML-based use cases from definition to deployment Support continuous improvement of ML models by incorporating the changes in the site conditions through continuous monitoring model performance Prepare and Present insights and recommendations to internal and external stakeholders Support...