Data Science / AI-ML / Gen AI Mentor Intern

About the Role:

PhD or M.Tech student from a top-tier university (IITs, IISc, IISERs, NITs, etc.)

Mentorship Internship

• Mentor learners in

  AI/ML, Deep Learning, and Generative AI

  .
• Gain

  first-hand experience in online teaching & mentoring

  through a leading LMS platform.
• Collaborate with

  industry practitioners

  and

  edtech teams

  on real-world and

  state-of-the-art research projects

  .
• Work on

  AI in Education problems

  , such as building intelligent educational applications, personalized learning systems, and Gen AI-based teaching assistants.

academic-industry bridge program

Key Responsibilities:

• Deliver

  interactive online mentoring sessions

  (weekday evenings or weekends).
• Teach and guide learners on

  Data Science, Machine Learning, Deep Learning, and Generative AI

  with a hands-on, applied focus.
• Mentor students on

  coding labs, mini-projects, and real-world case studies

  .
• Provide

  doubt resolution, assignment reviews, and project guidance

  .

• Collaborate on educational research problems

  , including designing AI-powered teaching/assessment tools.
• Gain exposure to

  LMS platforms, online workspace tools, and student progress tracking systems

  .
• Work closely with GUVI's

  curriculum & industry teams

  to align teaching with

  state-of-the-art practices and applications

  .

Who Can Apply:

• Currently pursuing M.Tech/MS/PhD

  in Computer Science, Data Science, AI/ML, or related fields.
• Students from

  top-tier institutes (IITs, IISc, IISERs, NITs, etc.)

  strongly preferred.
• Strong academic/research background in AI/ML and Deep Learning.
• Programming skills in

  Python

  with experience in

  Pandas, NumPy, scikit-learn, TensorFlow/PyTorch

  .
• Familiarity with

  LLMs, Hugging Face, LangChain, RAG, and Gen AI pipelines

  is a big plus.
• Excellent communication skills in

  English and Tamil

  (both required).
• Passionate about

  teaching, mentoring, and bridging research with practice

  .

Why Join - The Intern Advantage:

• Exposure to Online Teaching & LMS:

  Hands-on experience with online learning platforms and digital classroom tools a must-have skill for future professors and trainers.

• Work on SOTA Projects:

  Collaborate on cutting-edge

  AI/ML and Gen AI projects

  , including AI in Education applications.

• Industry-Academia Collaboration:

  Engage with industry mentors, edtech experts, and real-world learners.

• Research Opportunities:

  Contribute to

  research-driven educational applications

  and publishable outcomes.

• Career Edge:

  Build teaching, mentoring, and communication skills that strengthen your

  academic and professional profile

  .

• Competitive Stipend:

  Per-session stipend + incentives for outstanding mentorship.

• Flexibility:

  Part-time, 610 hours per week (choose weekday evenings or weekends).

Schedule & Commitment:

• Part-time internship (610 hrs/week).
• Duration:

  36 months

  , extendable.

How to Apply:

Apply via this job post

or

CV

or

Amit Kumar