Green Skills and Applied AI Internships

The 1M1B interview process typically starts with a brief webinar followed by an online assessment that tests logical reasoning and basic programming. Shortlisted candidates then face a technical interview focused on data analysis, AI concepts, and problem‑solving related to climate use cases. The rounds are moderate in difficulty, and candidates are advised to showcase project work, analytical thinking, and a passion for sustainability.

1M1B promotes a collaborative, mission‑driven culture where innovation meets social impact. Interns work closely with industry experts and enjoy a flexible virtual environment that encourages continuous learning and work‑life balance. The organization values diversity, mentorship, and rapid skill development.

Open to Indian students graduating in 2026 (or recent graduates) from any discipline. Minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of application. Candidates should possess basic programming knowledge, analytical mindset, and a genuine interest in sustainability and AI. Preference given to those with prior exposure to data analysis, machine learning, or environmental studies.

Round 1: 60‑minute introductory webinar and online assessment → Round 2: Project‑based interview / technical discussion with mentors → Round 3: Final selection and onboarding (certificate issuance)

1M1B is an emerging technology and sustainability venture focused on leveraging artificial intelligence to address climate challenges in India. Backed by leading industry partners, including Microsoft, the company operates several Climate Action Centres of Excellence (COE) that blend cutting‑edge AI research with real‑world environmental projects. Their mission is to create a skilled AI‑driven climate workforce, empower youth, and nurture innovative climate solutions that can be scaled across the nation. By 2030, 1M1B aims to support over 500 AI‑powered climate use cases, positioning itself as a catalyst for the green economy. The Green Skills and Applied AI Internship is a flagship program under the 1M1B‑Microsoft partnership. It is designed to give fresh graduates and final‑year students hands‑on experience at the intersection of data analytics, machine learning, and sustainability. Interns start with a virtual bootcamp that covers fundamentals of climate science, AI techniques, and green skill development. After a competency assessment, selected candidates embark on a 70‑hour deep‑dive project that tackles a real climate or sustainability problem, culminating in a tangible deliverable such as a dashboard, analytical model, or AI prototype. Key responsibilities include: 1. Analyzing climate‑related datasets to extract actionable insights. 2. Designing and developing interactive dashboards using tools like Tableau or PowerBI. 3. Building and fine‑tuning machine‑learning models for predictive climate analytics. 4. Collaborating with mentors and cross‑functional teams to define project scope. 5. Documenting methodology, results, and recommendations in a final report. 6. Presenting the solution in a Demo Day showcase to industry experts and stakeholders. 7. Maintaining version control and code quality using Git. 8. Staying updated with the latest AI and sustainability trends. 9. Contributing to a proof‑of‑work portfolio for future opportunities. 10. Adhering to ethical data handling and sustainability guidelines. Tech stack typically involves Python, Pandas, NumPy, Scikit‑learn, TensorFlow/Keras, SQL, Tableau/PowerBI, and cloud platforms like Azure. Successful interns can expect a clear growth path: high‑performers may be invited to live projects, fellowships, or full‑time roles within 1M1B or partner organisations, gaining exposure to cutting‑edge AI research and policy‑driven climate initiatives. Joining this internship offers a unique blend of technical skill‑building, real‑world impact, mentorship from industry leaders, and a gateway to emerging careers in AI‑enabled sustainability. The program’s virtual nature provides flexibility while still delivering a collaborative, cohort‑based learning environment.