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CoRover.ai logo — CoRover.ai Machine Learning Intern (Healthcare & Imaging) in Mumbai, Maharashtra
CoRover.ai VerifiedActively Hiring

Machine Learning Intern (Healthcare & Imaging)

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Location

Mumbai, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹31,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹31,000/moApply on Company Website ↗

About the Internship

Join CoRover.ai in Mumbai 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 Learning…

About CoRover.ai

CoRover.ai offers a mentor-led Machine Learning Intern (Healthcare & Imaging) in Mumbai with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mumbai, MaharashtraVerified employer8 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 Mumbai. 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

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. 2Technical interview on fundamentals and your projects
31,000/month

Stipend · 4 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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