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Cashfree Payments logo — Cashfree Payments Recommendation Systems Intern in Kollam, Kerala
Cashfree Payments VerifiedActively Hiring

Recommendation Systems Intern

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Location

Kollam, Kerala

Work Mode

Hybrid

Duration

2 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Join Cashfree Payments in Kollam as a Recommendation Systems Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on recommender systems work. About the role As a Recommendation Systems Intern at Cashfree…

About Cashfree Payments

Cashfree Payments offers a mentor-led Recommendation Systems Intern in Kollam with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kollam, KeralaVerified employer7 openings
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Skills Required

PythonCollaborative FilteringMatrix FactorisationRanking MetricsEmbeddingsScikit-learnA/B TestingSQLFeature EngineeringGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Kollam. You should be keen to learn Python, Collaborative Filtering, Matrix Factorisation 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 hoursDirect access to the team that owns the data you work on

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
24,000/month

Stipend · 2 months

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Openings7 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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