TagHive

Natural Language Processing Intern

InternshipIn OfficeDindigul, Tamil Nadu2 months21K/mo14 openingsImmediate / Rolling

About this internship

TagHive has an open Natural Language Processing Intern position in Dindigul for motivated freshers and final-year students. You will work on live natural language processing projects and finish with something you can genuinely talk about in interviews. About the role As a Natural Language…

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Skills you'll use

PythonNLTK & spaCyTransformersText PreprocessingTokenisationNamed Entity RecognitionText ClassificationHugging FaceEmbeddingsGit

What you'll do

Work on making machines useful on text that is informal, multilingual and full of things a tokeniser never saw alongside the core team
Apply Python, NLTK & spaCy, Transformers, Text Preprocessing to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
Graduating batch 2026, 2027 or 2028 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Python, NLTK & spaCy, Transformers (or a genuine willingness to learn them)
Exposure to Text Preprocessing, Tokenisation, Named Entity Recognition is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Dindigul, Tamil Nadu or willing to work from there for the internship period

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceDirect access to the team that owns the data you work on

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment

About TagHive

TagHive operates in the it services sector and has an active presence in Dindigul. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…

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