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Rapido logo — Rapido NLP Engineering Intern in Kanpur, Uttar Pradesh
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NLP Engineering Intern

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Location

Kanpur, Uttar Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Rapido is hiring a NLP Engineering Intern in Kanpur — 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 Rapido, your core focus will be…

About Rapido

Rapido offers a mentor-led NLP Engineering Intern in Kanpur with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
Kanpur, Uttar PradeshVerified employer11 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 Kanpur. 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 workflowsDirect access to the team that owns the data you work on

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
23,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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