- Assist with the development, testing, and deployment of AI/ML models, including Generative AI (GenAI) solutions.
- Brainstorm and implement solutions by referencing research papers, scholarly articles, and industry best practices.
- Perform data mining using state-of-the-art methods to extract insights and enable predictive analytics.
- Process, cleanse, and verify the integrity of datasets, ensuring their usability for accurate analysis and model training.
- Conduct error analysis for demand, wind, and solar forecast models to identify and implement enhancements.
- Carry out manual computations for demand, wind, and solar forecasts, complementing automated systems when necessary.
- Perform in-depth analysis to uncover insights and solve complex problems within the renewable energy domain.
- Understand and optimize forecasting models using R and Python programming.
- Design and implement recent scripts in R and Python to automate tasks and improve operational efficiency.
- Develop Generative AI applications, including scenario generation, predictive modeling, and domain-specific innovations.
- Collaborate with cross-functional teams to integrate GenAI solutions into forecasting workflows.
- Update project status for self-assigned tasks daily, ensuring clear communication and project alignment.
Preferred candidate profile Python, R, Statistics, Machine Learning, Deep Learning, Cluster Regression, Generative AI (GenAI)