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360 ONE logo — 360 ONE Recommender Systems Intern in Nashik, Maharashtra
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Recommender Systems Intern

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Location

Nashik, Maharashtra

Work Mode

In Office

Duration

3 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Start your career in recommendation and ranking systems with 360 ONE as a Recommender Systems Intern in Nashik. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Recommender Systems Intern at 360 ONE, your…

About 360 ONE

360 ONE offers a mentor-led Recommender Systems Intern in Nashik with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer6 openings
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Skills Required

Recommender SystemsCollaborative FilteringRanking MetricsPythonPandasEmbeddingsA/B TestingSQLCold Start HandlingEvaluation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Statistics / Mathematics) who are based in or willing to work from Nashik. You should be keen to learn Recommender Systems, Collaborative Filtering, Ranking Metrics 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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