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Behtar Zindagi logo — Behtar Zindagi NLP Engineering Intern in Mumbai, Maharashtra
Behtar Zindagi VerifiedActively Hiring

NLP Engineering Intern

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Location

Mumbai, Maharashtra

Work Mode

Work from Home

Duration

4 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Behtar Zindagi has an open NLP Engineering Intern position in Mumbai 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 Engineering Intern at Behtar…

About Behtar Zindagi

Behtar Zindagi offers a mentor-led NLP Engineering Intern in Mumbai with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mumbai, MaharashtraVerified employer8 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 Mumbai. 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

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
27,000/month

Stipend · 4 months

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Openings8 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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