Cybrilla

AI / Machine Learning Intern

InternshipHybridPune, Maharashtra5 months19K/mo1 openingImmediate / Rolling

About this internship

Cybrilla has an open AI / Machine Learning Intern position at its Pune team for motivated freshers and final-year students. You will own meaningful work and grow the practical skills employers actually look for. As a AI / Machine Learning Intern, you will work closely with experienced…

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Skills you'll use

PythonMachine LearningTensorFlowPyTorchScikit-learnPandasNumPyStatistics

What you'll do

cleaning and preparing datasets
training and evaluating ML models
running experiments and tracking metrics
collaborating on model deployment
presenting results to the team
Collaborate with the team and document your work
Take ownership of assigned tasks and act on feedback

Who can apply

Pursuing or recently completed BE/B.Tech/M.Tech/M.Sc (CS/Data Science/Stats)
Foundational knowledge of Python, Machine Learning, TensorFlow, PyTorch
Good communication and a genuine willingness to learn
Based in or open to working from Pune
A portfolio, project or coursework you can show (a plus, not mandatory)

Perks & benefits

StipendNetworking opportunitiesInternship CertificateLetter of RecommendationMentorship from experienced professionalsReal-world project experience

Interview & selection process

3 rounds — typical selection flow for this role:

1Application Screening — the recruitment team at Cybrilla reviews your resume, projects/portfolio and fit for the AI / Machine Learning Intern role.
2Aptitude / Skills Assessment — a screening test focused on ML fundamentals, Python and statistics.
3Technical / Role Interview — an in-depth discussion of your skills, projects and a task or case relevant to machine learning.
4HR / Managerial Discussion — a conversation about your interests, availability, learning goals and the internship offer with Cybrilla.

About Cybrilla

Cybrilla is a fintech (saas) organisation with a strong presence in Pune and a track record of hiring and developing young talent. The team believes the best way to grow is by doing, so interns here are given real ownership from the start rather than being kept on the sidelines. Working here means…

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