Apollo 24|7

Medical AI Intern

InternshipIn OfficeMysuru, Karnataka6 months35K/mo3 openingsImmediate / Rolling

About this internship

Apollo 24|7 is hiring a Medical AI Intern in Mysuru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to medical AI rather than a certificate-only programme. About the role As a Medical AI Intern at Apollo 24|7, 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 Mysuru, Karnataka

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
2Practical assignment or case study with a short walkthrough

About Apollo 24|7

Apollo 24|7 operates in the healthtech sector and has an active presence in Mysuru. 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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