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Deyga Organics logo — Deyga Organics NLP Engineering Intern in Shimla, Himachal Pradesh
Deyga Organics VerifiedActively Hiring

NLP Engineering Intern

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Location

Shimla, Himachal Pradesh

Work Mode

In Office

Duration

6 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Deyga Organics in Shimla 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 Deyga Organics…

About Deyga Organics

Deyga Organics offers a mentor-led NLP Engineering Intern in Shimla with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
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Shimla, Himachal PradeshVerified employer15 openings
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Skills Required

PythonHugging Face TransformersPyTorchTokenisationText ClassificationNamed Entity RecognitionEmbeddingsModel EvaluationPandasGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Shimla. You should be keen to learn Python, Hugging Face Transformers, PyTorch 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
30,000/month

Stipend · 6 months

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Openings15 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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