Recommendation Systems Intern

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Skills you'll use

What you'll do

• Work on deciding what a user sees next, and proving with an A/B test that your ranking beat the old one alongside the core team
• Apply Python, Collaborative Filtering, Ranking Models, Feature Engineering to live, production-facing problems
• Document your work clearly for reviewers and stakeholders
• Participate in reviews and act on the feedback you receive
• Collaborate across engineering, product, design or business as required
• Follow the team's quality, testing and documentation standards

Who can apply

• Pursuing or recently completed B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA
• Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
• 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
• Working knowledge of Python, Collaborative Filtering, Ranking Models (or a genuine willingness to learn them)
• Exposure to Feature Engineering, SQL, A/B Testing is an advantage
• Clear written and verbal communication in English, and care with detail in your work
• No prior work experience required — this is a fresher-friendly internship
• Based in Faridabad, Haryana or willing to work from there for the internship period

Perks & benefits

Interview & selection process

4 rounds — typical selection flow for this role:

1. 1Application screening & resume shortlisting by the talent team
2. 2Online aptitude / domain assessment
3. 3Technical interview on fundamentals and your projects
4. 4HR discussion — stipend, start date, expectations and offer

About Pocket FM

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