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SigTuple

Medical AI Intern

InternshipHybridHubballi, Karnataka3 months16K/mo2 openingsImmediate / Rolling

About this internship

Join SigTuple in Hubballi as a Medical AI Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on medical AI work. About the role As a Medical AI Intern at SigTuple, 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 Hubballi, Karnataka

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team

About SigTuple

SigTuple operates in the healthtech sector and has an active presence in Hubballi. 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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