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Edelweiss Asset Management logo — Edelweiss Asset Management NLP Engineer Intern in Shillong, Meghalaya
Edelweiss Asset Management VerifiedActively Hiring

NLP Engineer Intern

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Location

Shillong, Meghalaya

Work Mode

Hybrid

Duration

3 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Edelweiss Asset Management is hiring a NLP Engineer Intern in Shillong — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to natural language processing rather than a certificate-only programme. About the role As a NLP Engineer Intern at Edelweiss Asset…

About Edelweiss Asset Management

Edelweiss Asset Management offers a mentor-led NLP Engineer Intern in Shillong with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
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Shillong, MeghalayaVerified employer3 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 Shillong. 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
30,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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