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CaratLane logo — CaratLane Natural Language Processing Intern in Kalaburagi, Karnataka
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Natural Language Processing Intern

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Location

Kalaburagi, Karnataka

Work Mode

Work from Home

Duration

6 months

Stipend

₹28,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Start your career in natural language processing with CaratLane as a Natural Language Processing Intern in Kalaburagi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Natural Language Processing Intern at…

About CaratLane

CaratLane offers a mentor-led Natural Language Processing Intern in Kalaburagi 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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Kalaburagi, KarnatakaVerified employer12 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 Kalaburagi. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
28,000/month

Stipend · 6 months

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Openings12 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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