Cybrilla

NLP / Generative AI Intern

InternshipIn OfficeChandigarh, Chandigarh2 months26K/mo1 openingImmediate / Rolling

About this internship

Cybrilla is hiring a NLP / Generative AI Intern in Chandigarh — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied AI and machine learning rather than a certificate-only programme. About the role As a NLP / Generative AI Intern at Cybrilla…

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Skills you'll use

PythonNLPTransformersHugging FaceText PreprocessingPyTorchModel EvaluationTokenisationGitEmbeddings

What you'll do

Work on training, evaluating and deploying models alongside the core team
Apply Python, NLP, Transformers, Hugging Face 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/M.Tech/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
Working knowledge of Python, NLP, Transformers (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 Chandigarh, Chandigarh

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & selection process

3 rounds — typical selection flow for this role:

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

About Cybrilla

Cybrilla operates in the fintech (saas) sector and has an active presence in Chandigarh. 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 distance. The…

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