Location
Bengaluru, Karnataka
Work Mode
Hybrid
Duration
2 months
Stipend
₹27,000/mo
Start Date
Immediate / Rolling
Openings
12 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join American Express in Bengaluru as a Machine Learning Intern (Healthcare & Imaging). This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on machine learning for healthcare work.
About the role
As a Machine…
About American Express
American Express offers a mentor-led Machine Learning Intern (Healthcare & Imaging) in Bengaluru with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
Bengaluru, KarnatakaVerified employer12 openings
Apply to American Express →Skills Required
PythonMedical Imaging (DICOM)Deep LearningPyTorchClinical Data PrivacyModel ValidationStatistical AnalysisClass Imbalance HandlingDocumentationClinical Collaboration
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/Biomedical), B.Sc/M.Sc (Life Sciences / Statistics), B.Pharm or MBBS who are based in or willing to work from Bengaluru. You should be keen to learn Python, Medical Imaging (DICOM), Deep Learning on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹27,000/month
Stipend · 2 months
Openings12 positions
Applicants2 applied
ModeHybrid
CategoryMachine Learning
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