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Fyle logo — Fyle Indic & Multilingual NLP Intern in Mysuru, Karnataka
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Indic & Multilingual NLP Intern

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Location

Mysuru, Karnataka

Work Mode

In Office

Duration

6 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Fyle is hiring an Indic & Multilingual NLP Intern in Mysuru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to Indian-language natural language processing rather than a certificate-only programme. About the role As an Indic & Multilingual NLP Intern…

About Fyle

Fyle offers a mentor-led Indic & Multilingual NLP Intern in Mysuru 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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Mysuru, KarnatakaVerified employer9 openings
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Skills Required

Natural Language Processing (NLP)Indic Language ProcessingHugging Face TransformersPythonTokenisation for Indic ScriptsTransliterationDataset CurationModel Fine-TuningEvaluation MetricsMultilingual Embeddings

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (CS) or M.A. (Linguistics) with technical skills who are based in or willing to work from Mysuru. You should be keen to learn Natural Language Processing (NLP), Indic Language Processing, Hugging Face Transformers 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. 2Discussion with the hiring manager on the role and your fit
18,000/month

Stipend · 6 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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