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American Express logo — American Express Machine Learning Research Intern in Mumbai, Maharashtra
American Express VerifiedActively Hiring

Machine Learning Research Intern

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Location

Mumbai, Maharashtra

Work Mode

Hybrid

Duration

2 months

Stipend

₹38,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹38,000/moApply on Company Website ↗

About the Internship

Join American Express in Mumbai as a Machine Learning Research Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on machine learning research work. About the role As a Machine Learning Research Intern at…

About American Express

American Express offers a mentor-led Machine Learning Research Intern in Mumbai with live project work in machine learning, a stipend of ₹38,000/month and a Pre-Placement Offer opportunity for strong performers.
Mumbai, MaharashtraVerified employer3 openings
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Skills Required

Research MethodologyPyTorchPythonDeep LearningExperiment DesignStatistical AnalysisLiterature ReviewBenchmarkingTechnical WritingReproducibility

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/AI-ML), M.Tech, M.Sc (CS / Mathematics / Statistics) or PhD-track who are based in or willing to work from Mumbai. You should be keen to learn Research Methodology, PyTorch, Python 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. 2Discussion with the hiring manager on the role and your fit
38,000/month

Stipend · 2 months

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Openings3 positions
Applicants1 applied
ModeHybrid
CategoryMachine Learning
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