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5nance logo — 5nance NLP Engineer Intern in Bengaluru, Karnataka
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NLP Engineer Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

6 months

Stipend

₹28,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹28,000/moApply on Company Website ↗

About the Internship

5nance is hiring a NLP Engineer Intern in Bengaluru — 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 5nance, your core focus will be…

About 5nance

5nance offers a mentor-led NLP Engineer Intern in Bengaluru with live project work in machine learning, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer6 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 Bengaluru. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
28,000/month

Stipend · 6 months

Apply Now →
Openings6 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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