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Mad Street Den logo — Mad Street Den NLP Engineer Intern in Nashik, Maharashtra
Mad Street Den VerifiedActively Hiring

NLP Engineer Intern

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Location

Nashik, Maharashtra

Work Mode

In Office

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Mad Street Den in Nashik 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 Mad Street Den, your core…

About Mad Street Den

Mad Street Den offers a mentor-led NLP Engineer Intern in Nashik 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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Nashik, MaharashtraVerified employer7 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 Nashik. 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. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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