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Reliance Industries logo — Reliance Industries NLP Intern in Sitapur, Uttar Pradesh
Reliance Industries VerifiedActively Hiring

NLP Intern

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Location

Sitapur, Uttar Pradesh

Work Mode

In Office

Duration

2 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Reliance Industries is hiring a NLP Intern in Sitapur — 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 Intern at Reliance Industries, your core focus will…

About Reliance Industries

Reliance Industries offers a mentor-led NLP Intern in Sitapur with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Sitapur, Uttar PradeshVerified employer9 openings
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Skills Required

PythonNLTK & spaCyTransformersText PreprocessingTokenisationNamed Entity RecognitionText ClassificationHugging FaceEmbeddingsGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Sitapur. You should be keen to learn Python, NLTK & spaCy, Transformers 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 workflowsDirect 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. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 2 months

Apply Now →
Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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