Machine Learning Intern

Location: Bengaluru, Karnataka

Internship Type: Full-time, On-site

Duration: 6 months (Full-time conversion based on performance)

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 strong 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 reading, experimenting, and collaborating with the team.

Education & Experience

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Science, or a related quantitative field.
• 0–1 year of experience (academic projects, coursework, hackathons, or open-source contributions are welcome).
• A solid foundation in mathematics and statistics.
• Genuine interest in machine learning and applied AI.

Skills Required

• Comfortable programming in Python and working with libraries like NumPy and Pandas.
• Familiarity with basic machine learning concepts (e.g., regression, classification, clustering).
• Awareness of how data is structured and analysed (Jupyter Notebooks, basic visualisation).
• Familiarity with Git/GitHub for version control.
• Strong problem-solving skills and attention to detail.
• Good written and verbal communication.
• A learning mindset — willingness to ask questions, take feedback, and pick up new tools quickly.

What You'll Do

• Build and deploy end-to-end ML and forecasting systems.
• Develop intelligent data pipelines for predictive and probabilistic analytics.
• Work on real-world time series problems in energy, infrastructure, and sustainability domains.
• Collaborate with engineering teams to integrate ML models into scalable systems.
• Monitor and improve model performance, accuracy, and reliability.
• Contribute to building AI-driven decision-making platforms.

What You'll Bring

• Working knowledge of ML or optimization concepts, with practical exposure through projects or coursework.
• Strong mathematical and statistical foundation.
• Passion for scalable systems, automation, and applied problem-solving.
• Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.

Why Join Us

• Shape a first-of-its-kind AI + clean energy platform.
• Work with a small, mission-driven team obsessed with impact.
• An aggressive growth path.
• A chance to leave your mark at the intersection of AI and sustainability.