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UPL Limited logo — UPL Limited NLP Engineer Intern in Thane, Maharashtra
UPL Limited VerifiedActively Hiring

NLP Engineer Intern

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Location

Thane, Maharashtra

Work Mode

Work from Home

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Start your career in natural language processing with UPL Limited as a NLP Engineer Intern in Thane. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a NLP Engineer Intern at UPL Limited, your core focus will…

About UPL Limited

UPL Limited offers a mentor-led NLP Engineer Intern in Thane 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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Thane, MaharashtraVerified employer12 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 Thane. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

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
19,000/month

Stipend · 2 months

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Openings12 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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