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NLP Engineering Intern

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Location

Rajkot, Gujarat

Work Mode

Hybrid

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Scaler is hiring a NLP Engineering Intern in Rajkot — 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 Engineering Intern at Scaler, your core focus will be…

About Scaler

Scaler offers a mentor-led NLP Engineering Intern in Rajkot with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
Rajkot, GujaratVerified employer14 openings
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Skills Required

Natural Language ProcessingText ClassificationNamed Entity RecognitionHugging FaceTokenisationPythonspaCy or NLTKEmbeddingsIndic LanguagesEvaluation Metrics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (Computer Science / Statistics) or M.A. (Linguistics) with coding skills who are based in or willing to work from Rajkot. You should be keen to learn Natural Language Processing, Text Classification, Named Entity Recognition 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 CertificateDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 3 months

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Openings14 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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