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Onsurity logo — Onsurity Machine Learning Intern (Healthcare & Imaging) in Gandhinagar, Gujarat
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Machine Learning Intern (Healthcare & Imaging)

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Location

Gandhinagar, Gujarat

Work Mode

In Office

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Start your career in machine learning for healthcare with Onsurity as a Machine Learning Intern (Healthcare & Imaging) in Gandhinagar. 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 Machine Learning Intern…

About Onsurity

Onsurity offers a mentor-led Machine Learning Intern (Healthcare & Imaging) in Gandhinagar with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gandhinagar, GujaratVerified employer4 openings
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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 Gandhinagar. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 3 months

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Openings4 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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