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Indifi logo — Indifi Recommendation Systems Intern in Mohali, Punjab
Indifi VerifiedActively Hiring

Recommendation Systems Intern

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Location

Mohali, Punjab

Work Mode

Hybrid

Duration

3 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Indifi in Mohali 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 recommendation and ranking systems work. About the role As a Recommendation Systems Intern at…

About Indifi

Indifi offers a mentor-led Recommendation Systems Intern in Mohali with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mohali, PunjabVerified employer6 openings
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Skills Required

PythonCollaborative FilteringRanking ModelsFeature EngineeringSQLA/B TestingEmbeddingsPyTorchEvaluation MetricsGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Mohali. You should be keen to learn Python, Collaborative Filtering, Ranking Models 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 hours

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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