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Kratikal Tech logo — Kratikal Tech NLP Engineer Intern in Ranchi, Jharkhand
Kratikal Tech VerifiedActively Hiring

NLP Engineer Intern

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Location

Ranchi, Jharkhand

Work Mode

Hybrid

Duration

6 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Kratikal Tech in Ranchi as a NLP Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on natural language processing work. About the role As a NLP Engineer Intern at Kratikal Tech, your core…

About Kratikal Tech

Kratikal Tech offers a mentor-led NLP Engineer Intern in Ranchi with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ranchi, JharkhandVerified employer3 openings
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Skills Required

Natural Language Processing (NLP)Hugging Face TransformersPythonText Preprocessing & TokenisationNamed Entity RecognitionText ClassificationspaCy / NLTKEmbeddingsModel Evaluation (F1)Multilingual Text

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA, M.Sc (CS / Linguistics) or M.Tech who are based in or willing to work from Ranchi. You should be keen to learn Natural Language Processing (NLP), Hugging Face Transformers, Python 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 6 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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