Junior Machine Learning Engineer (Bengaluru)

Location: Bengaluru, Karnataka Internship Type: Full-time, On-site Duration: 6 months (Full-time conversion based on performance) Compensation: Paid internship (stipend details shared during the interview process) About the Company Sustainability Economics.Ai is a global organization pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders with deep expertise across finance, policy, and technology, we are committed to building impactful, future-ready solutions. Role Summary We are looking for a curious and motivated Machine Learning Intern to join our team and learn alongside experienced engineers and data scientists. This is a learning-focused role designed for someone with a robust foundation in programming, mathematics, and an interest in machine learning. You will work on real-world problems at the intersection of AI and clean energy, gaining hands-on exposure to data, models, and production-grade systems. No prior production ML experience is required — what matters is your eagerness to learn, ability to think clearly, and willingness to take ownership of the problems you work on. Key Responsibilities - Support the team in day-to-day data and machine learning tasks. - Help with data collection, cleaning, preprocessing, and exploratory analysis. - Assist in running experiments and evaluating different modelling approaches under guidance. - Work with senior engineers to understand how ML systems are built, tested, and deployed. - Document your work, experiments, and findings clearly for the team. - Contribute to internal tooling, scripts, and reproducible workflows. - Share insights from data and present results in team discussions. - Continuously learn — through read