Mad Street Den

NLP Intern

InternshipHybridBhopal, Madhya Pradesh2 months32K/mo1 openingImmediate / Rolling

About this internship

Mad Street Den is hiring a NLP Intern in Bhopal — 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 Mad Street Den, your core focus will be…

Skills you'll use

PythonNatural Language ProcessingspaCyTransformersText ClassificationNamed Entity RecognitionTokenisationPyTorchData AnnotationModel Evaluation

What you'll do

Work on building text classification, extraction and conversational models alongside the core team
Apply Python, Natural Language Processing, spaCy, Transformers to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/MCA/M.Sc (CS, Linguistics, AI) — 2026 freshers & final-year students welcome
Working knowledge of Python, Natural Language Processing, spaCy (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Bhopal, Madhya Pradesh

Perks & benefits

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:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects

About Mad Street Den

Mad Street Den operates in the artificial intelligence sector and has an active presence in Bhopal. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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