Artificial Intelligence R&D - Internship (WFH & Part Time)

About the internship:Selected intern's day-to-day responsibilities include:

1. Reach out to professors working in Artificial Intelligence, present the DT rule-based expert systems, and seek suggestions.

2. Design hypothesis and run experiments around the rule based expert systems of DeepThought

3. Explore AI paradigms and work towards a commerciable viable AIWho can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 7th Oct'26 and 11th Nov'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 5,000 - 8,000 /monthDeadline:[hidden]:59:59Skills required:Mathematics, Artificial intelligence and Research and AnalyticsAbout Company:DeepThought CultureTech solves execution challenges through its AI-powered PDGMS (People development and growth management system) platform. While founders of Rs 50 crore, Rs 100 crore, and Rs 500 crore companies often apply scientific thinking to product development, that rigor does not always extend to everyday execution. DeepThought bridges this gap by embedding scientific thinking into daily operations, where work becomes a continuous cycle of hypothesis, testing, learning, and improvement. Founded as Sciensation in 2011, the company evolved into DeepThought EduTech in 2020 and transformed into DeepThought CultureTech in 2025, progressing from an EdTech company to a consulting firm and now an AI platform. Throughout this journey, it has remained committed to servant leadership and scientific thinking, using its expertise in human capital development and consulting to build the PDGMS AI platform.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Reach out to professors working in Artificial Intelligence, present the DT rule-based expert systems, and seek suggestions.

2. Design hypothesis and run experiments around the rule based expert systems of DeepThought

3. Explore AI paradigms and work towards a commerciable viable AI