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Furlenco logo — Furlenco Machine Learning Intern (Healthcare & Imaging) in Gurugram, Haryana
Furlenco VerifiedActively Hiring

Machine Learning Intern (Healthcare & Imaging)

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Location

Gurugram, Haryana

Work Mode

Work from Home

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹20,000/moApply on Company Website ↗

About the Internship

Furlenco has an open Machine Learning Intern (Healthcare & Imaging) position in Gurugram for motivated freshers and final-year students. You will work on live machine learning for healthcare projects and finish with something you can genuinely talk about in interviews. About the role As a Machine…

About Furlenco

Furlenco offers a mentor-led Machine Learning Intern (Healthcare & Imaging) in Gurugram with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer13 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 Gurugram. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
20,000/month

Stipend · 3 months

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Openings13 positions
Applicants1 applied
ModeWork from Home
CategoryMachine Learning
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