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Namma Yatri logo — Namma Yatri NLP Engineer Intern in GIFT City, Gandhinagar, Gujarat
Namma Yatri VerifiedActively Hiring

NLP Engineer Intern

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Location

GIFT City, Gandhinagar, Gujarat

Work Mode

Hybrid

Duration

3 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Namma Yatri is hiring a NLP Engineer Intern in GIFT City, Gandhinagar — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to natural language processing rather than a certificate-only programme. About the role As a NLP Engineer Intern at Namma Yatri…

About Namma Yatri

Namma Yatri offers a mentor-led NLP Engineer Intern in GIFT City, Gandhinagar with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
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GIFT City, Gandhinagar, GujaratVerified employer13 openings
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Skills Required

Natural Language Processing (NLP)Hugging Face TransformersPythonText Preprocessing & TokenisationNamed Entity RecognitionText ClassificationspaCy / NLTKEmbeddingsModel Evaluation (F1)Multilingual Text

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA, M.Sc (CS / Linguistics) or M.Tech who are based in or willing to work from GIFT City, Gandhinagar. You should be keen to learn Natural Language Processing (NLP), Hugging Face Transformers, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
29,000/month

Stipend · 3 months

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Openings13 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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