
Recommendation Systems Intern
About this internship
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Skills you'll use
What you'll do
- Work on building the ranking that decides what each user sees next alongside the core team
- Apply Recommendation Systems, Collaborative Filtering, Python, Ranking Models 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 (CSE/IT), MCA, M.Sc (CS / Statistics) or M.Tech
- Graduating batch 2026, 2027 or 2028 — final-year students and recent graduates welcome
- 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
- Working knowledge of Recommendation Systems, Collaborative Filtering, Python (or a genuine willingness to learn them)
- Exposure to Ranking Models, Embeddings, 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 Salem, Tamil Nadu or willing to work from there for the internship period
Perks & benefits
Interview & selection process
2 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
About Capgemini India
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- Vacancies
- 9,766
- Last date to apply
- 31 Aug 2026
- Starting basic
- ₹26,730
- Eligibility
- Any graduate · 20–28
7,680 regular + 2,086 backlog posts across 24 states · Prelims tentatively September 2026 · No interview — Prelims, Mains and a local-language test only · approx. ₹46,000/month gross at a metro.
View Vacancies, Syllabus & How to ApplyPreparing? 10 full-length mock tests + 7,200-question PDF — every answer explained
₹199₹999Similar Internships
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