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Eko India Financial Services logo — Eko India Financial Services Recommendation Systems Intern in Ratnagiri, Maharashtra
Eko India Financial Services VerifiedActively Hiring

Recommendation Systems Intern

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Location

Ratnagiri, Maharashtra

Work Mode

Work from Home

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Eko India Financial Services has an open Recommendation Systems Intern position in Ratnagiri for motivated freshers and final-year students. You will work on live recommender systems projects and finish with something you can genuinely talk about in interviews. About the role As a Recommendation…

About Eko India Financial Services

Eko India Financial Services offers a mentor-led Recommendation Systems Intern in Ratnagiri with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ratnagiri, MaharashtraVerified employer5 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 Ratnagiri. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

4 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
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

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Openings5 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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