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TradeCred logo — TradeCred NLP Engineer Intern in Howrah, West Bengal
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NLP Engineer Intern

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Location

Howrah, West Bengal

Work Mode

Hybrid

Duration

6 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Join TradeCred in Howrah 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 TradeCred, your core focus…

About TradeCred

TradeCred offers a mentor-led NLP Engineer Intern in Howrah with live project work in ai & machine learning, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Howrah, West BengalVerified employer3 openings
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Skills Required

Hugging Face TransformersNLTKspaCySentiment AnalysisText MiningPythonTokenisation & EmbeddingsNamed Entity Recognition (NER)Model Fine-TuningEvaluation Metrics (F1 / BLEU)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (CS / Computational Linguistics) or M.Tech who are based in or willing to work from Howrah. You should be keen to learn Hugging Face Transformers, NLTK, spaCy 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
33,000/month

Stipend · 6 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryAI & Machine Learning
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