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Biryani By Kilo logo — Biryani By Kilo Recommendation Systems Intern in Visakhapatnam, Andhra Pradesh
Biryani By Kilo VerifiedActively Hiring

Recommendation Systems Intern

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Location

Visakhapatnam, Andhra Pradesh

Work Mode

Work from Home

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Start your career in recommendation and ranking systems with Biryani By Kilo as a Recommendation Systems Intern in Visakhapatnam. 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 Recommendation Systems…

About Biryani By Kilo

Biryani By Kilo offers a mentor-led Recommendation Systems Intern in Visakhapatnam with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Visakhapatnam, Andhra PradeshVerified employer3 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 Visakhapatnam. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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