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NLP Engineering Intern

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Location

Amritsar, Punjab

Work Mode

In Office

Duration

3 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Shadowfax in Amritsar as a NLP Engineering 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 Engineering Intern at Shadowfax, your core…

About Shadowfax

Shadowfax offers a mentor-led NLP Engineering Intern in Amritsar with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Amritsar, PunjabVerified employer15 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 Amritsar. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect access to the team that owns the data you work on

Interview & Selection Process

4 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. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 3 months

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Openings15 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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