Niramai

Machine Learning Intern

InternshipHybridBengaluru, Karnataka6 months31K/mo4 openingsImmediate / Rolling

About this internship

Niramai is hiring a Machine Learning Intern in Bengaluru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied machine learning rather than a certificate-only programme. About the role As a Machine Learning Intern at Niramai, your core focus…

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Skills you'll use

PythonMachine LearningScikit-learnTensorFlow or PyTorchFeature EngineeringModel EvaluationPandasNumPySQLMLOps Basics

What you'll do

Work on training, tuning and validating ML models on production data alongside the core team
Apply Python, Machine Learning, Scikit-learn, TensorFlow or PyTorch 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/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
Working knowledge of Python, Machine Learning, Scikit-learn (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 Bengaluru, Karnataka

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
2Online aptitude / domain assessment
3HR discussion — stipend, start date, expectations and offer

About Niramai

Niramai operates in the healthtech & medical ai sector and has an active presence in Bengaluru. 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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