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Zebu logo — Zebu Natural Language Processing Intern in Purnia, Bihar
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Natural Language Processing Intern

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Location

Purnia, Bihar

Work Mode

Hybrid

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Zebu is hiring a Natural Language Processing Intern in Purnia — 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 Natural Language Processing Intern at Zebu…

About Zebu

Zebu offers a mentor-led Natural Language Processing Intern in Purnia with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Purnia, BiharVerified employer9 openings
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Skills Required

PythonNLTK & spaCyTransformersText PreprocessingTokenisationNamed Entity RecognitionText ClassificationHugging FaceEmbeddingsGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Purnia. You should be keen to learn Python, NLTK & spaCy, 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

3 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
  3. 3HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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