PhonePe

AI & Machine Learning Intern

InternshipHybridVijayawada, Andhra Pradesh3 months24K/mo2 openingsImmediate / Rolling

About this internship

PhonePe is hiring a AI & Machine Learning Intern in Vijayawada — 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 AI & Machine Learning Intern at PhonePe…

Skills you'll use

PythonMachine LearningDeep LearningPyTorch / TensorFlowScikit-learnPandasFeature EngineeringModel EvaluationSQLMLOps Basics

What you'll do

Work on training, evaluating and deploying machine-learning models alongside the core team
Apply Python, Machine Learning, Deep Learning, PyTorch / TensorFlow 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, Machine Learning, Deep Learning (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 Vijayawada, Andhra 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
2Team-fit / behavioural interview with the team

About PhonePe

PhonePe operates in the fintech & payments sector and has an active presence in Vijayawada. 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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