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Choice Broking logo — Choice Broking NLP Engineer Intern in Gurugram, Haryana
Choice Broking VerifiedActively Hiring

NLP Engineer Intern

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Location

Gurugram, Haryana

Work Mode

Hybrid

Duration

2 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Choice Broking is hiring a NLP Engineer Intern in Gurugram — 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 Choice Broking, your core…

About Choice Broking

Choice Broking offers a mentor-led NLP Engineer Intern in Gurugram with live project work in ai & machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer1 opening
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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 Gurugram. 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

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
23,000/month

Stipend · 2 months

Apply Now →
Openings1 positions
Applicants0 applied
ModeHybrid
CategoryAI & Machine Learning
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