Wadhwani AI
Wadhwani AI is a leading non-profit research institute focused on developing artificial intelligence solutions for societal impact. They work towards creating scalable AI-driven innovations to address challenges in various sectors like healthcare, agriculture, and public welfare.
About the Initiative
The Wadhwani AI Expertise Enrichment Initiative (WEEI) is designed to attract exceptional talent from top-tier institutions to contribute to Wadhwani AI’s mission. The programme provides interns with valuable experience in AI and its real-world applications, offering a platform for professional growth and meaningful impact.
Key Highlights of the Programme
- Duration: 3-4 months
- Stipend: Competitive, as per industry standards
Structure:
- 1-week onboarding and project assignment
- 10-12 weeks of project work
- 1-week knowledge transfer and wrap-up
- Mentorship: Supervision from senior team members, Heads of Departments (HoDs), and the CEO.
- Outcomes: Completion certificates, potential pre-placement offers, and real-world project deliverables.
Eligibility Criteria
- Students with a strong academic background in relevant fields.
- Previous internship experience at top consulting firms or tech companies is preferred.
Responsibilities
As an intern, your role will involve working on impactful projects across several key areas:
a) Project Streamlining and Automation
- Identifying inefficiencies in existing processes.
- Developing and implementing automation solutions.
- Documenting improved procedures for team adoption.
b) Data Analysis and Modeling
- Creating Excel/spreadsheet models for organizational needs.
- Developing forecasting models for budgets and infrastructure costs.
- Automating reporting and audit control processes.
c) Knowledge Management
- Creating structured repositories for project documentation.
- Developing knowledge artifacts for the communications team.
- Organizing and cataloguing existing organizational knowledge.
d) Impact Assessment
- Developing impact models incorporating the theory of change.
- Creating evaluation frameworks for solution deployment across countries.
- Conducting measurements and validating project outcomes.
e) Cross-functional Support
- Assisting in creating basic structures for the Product Life Cycle (PLC).
- Supporting the extension of solutions across domains.
- Contributing to cost reduction initiatives through waste elimination.
f) Research and Innovation
- Conducting literature reviews and market research.
- Proposing innovative solutions to organizational challenges.
- Assisting in the development of AI-driven tools and applications.
