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Games24x7 logo — Games24x7 Recommendation Systems Intern in Tirupati, Andhra Pradesh
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Recommendation Systems Intern

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Location

Tirupati, Andhra Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Games24x7 is hiring a Recommendation Systems Intern in Tirupati — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to recommendation and ranking systems rather than a certificate-only programme. About the role As a Recommendation Systems Intern at…

About Games24x7

Games24x7 offers a mentor-led Recommendation Systems Intern in Tirupati with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Tirupati, Andhra PradeshVerified employer9 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 Tirupati. 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

4 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. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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