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Schbang logo — Schbang NLP Engineering Intern in Dehradun, Uttarakhand
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NLP Engineering Intern

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Location

Dehradun, Uttarakhand

Work Mode

Hybrid

Duration

6 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Schbang is hiring a NLP Engineering Intern in Dehradun — 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 Engineering Intern at Schbang, your core focus…

About Schbang

Schbang offers a mentor-led NLP Engineering Intern in Dehradun with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Dehradun, UttarakhandVerified employer4 openings
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Skills Required

Natural Language ProcessingText ClassificationNamed Entity RecognitionHugging FaceTokenisationPythonspaCy or NLTKEmbeddingsIndic LanguagesEvaluation Metrics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (Computer Science / Statistics) or M.A. (Linguistics) with coding skills who are based in or willing to work from Dehradun. You should be keen to learn Natural Language Processing, Text Classification, Named Entity Recognition 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 workflowsBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
18,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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