Qure.ai

Medical AI Intern

InternshipWork from HomeMangaluru, Karnataka3 months24K/mo3 openingsImmediate / Rolling

About this internship

Start your career in medical AI with Qure.ai as a Medical AI Intern in Mangaluru. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Medical AI Intern at Qure.ai, your core focus will be building and…

Skills you'll use

PythonDeep LearningMedical ImagingPyTorchModel ValidationDICOM BasicsStatisticsData AnnotationRegulatory AwarenessTechnical Writing

What you'll do

Work on building and validating models on medical imaging or clinical text alongside the core team
Apply Python, Deep Learning, Medical Imaging, 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/MBBS with a data interest — 2026 freshers & final-year students welcome
Working knowledge of Python, Deep Learning, Medical Imaging (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 Mangaluru, Karnataka

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

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 Qure.ai

Qure.ai operates in the healthtech sector and has an active presence in Mangaluru. 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 work…

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