Location
Pune, Maharashtra
Work Mode
In Office
Duration
5 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
ZF India has an open Prompt Engineering Intern position at its Pune team for motivated freshers and final-year students. You will own meaningful work and grow the practical skills employers actually look for.
As a Prompt Engineering Intern, you will work closely with experienced professionals in a…
About ZF India
ZF India offers a mentor-led Prompt Engineering Intern in Pune with real project work, a stipend of ₹25,000 / month and a Pre-Placement Offer opportunity for strong performers.
See all ZF Indiainternships →Pune, MaharashtraVerified employer1 opening
Apply to ZF India →Skills Required
Prompt EngineeringLLMsPythonOpenAI APILangChainNLPEvaluationFine-tuning Basics
Who Can Apply
- Students in their final year or recent graduates (Any graduate with strong reasoning; CS a plus) based in or willing to work from Pune, who are curious, self-driven and keen to learn machine learning on real projects. Freshers welcome — a strong project portfolio matters more than prior work experience.
Perks
Mentorship from experienced professionalsReal-world project experiencePre-Placement Offer (PPO) opportunityFlexible working hoursStipendNetworking opportunities
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application Screening — the recruitment team at ZF India reviews your resume, projects/portfolio and fit for the Prompt Engineering Intern role.
- 2Aptitude / Skills Assessment — a screening test focused on reasoning, writing and basic Python/LLM knowledge.
- 3Technical / Role Interview — an in-depth discussion of your skills, projects and a task or case relevant to machine learning.
- 4HR / Managerial Discussion — a conversation about your interests, availability, learning goals and the internship offer with ZF India.
₹25,000/month
Stipend · 5 months
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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