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CareNow logo — CareNow Recommendation Systems Intern in Jodhpur, Rajasthan
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Recommendation Systems Intern

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Location

Jodhpur, Rajasthan

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join CareNow in Jodhpur 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 CareNow

CareNow offers a mentor-led Recommendation Systems Intern in Jodhpur with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jodhpur, RajasthanVerified employer4 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 Jodhpur. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

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
19,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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