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Netskope logo — Netskope NLP Engineer Intern in Pune, Maharashtra
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NLP Engineer Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

2 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Netskope has an open NLP Engineer Intern position in Pune for motivated freshers and final-year students. You will work on live natural language processing projects and finish with something you can genuinely talk about in interviews. About the role As a NLP Engineer Intern at Netskope, your core…

About Netskope

Netskope offers a mentor-led NLP Engineer Intern in Pune with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer4 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 Pune. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

4 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. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
29,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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