Fibe (EarlySalary)

AI / Machine Learning Intern

InternshipIn OfficePune, Maharashtra6 months37K/mo1 openingImmediate / Rolling

About this internship

Join Fibe (EarlySalary) in Pune as a AI / Machine Learning Intern. This entry-level internship is built for candidates eager to turn classroom knowledge into hands-on, business-facing experience. As a AI / Machine Learning Intern, you will work closely with experienced professionals in a fintech…

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

Real-world project experiencePre-Placement Offer (PPO) opportunityFlexible working hoursStipendNetworking opportunitiesInternship Certificate

Interview & selection process

3 rounds — typical selection flow for this role:

1Application Screening — the recruitment team at Fibe (EarlySalary) 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 Fibe (EarlySalary).

About Fibe (EarlySalary)

Fibe (EarlySalary) operates in the fintech (lending) space and actively invests in early-career talent across its Pune team. Its culture is practical and learning-oriented — mentorship, honest feedback and real project work are part of everyday life, and interns are treated as genuine members of…

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