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Canva India logo — Canva India Recommender Systems Intern in Jalandhar, Punjab
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Recommender Systems Intern

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Location

Jalandhar, Punjab

Work Mode

Hybrid

Duration

4 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Canva India in Jalandhar as a Recommender Systems Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on recommendation and ranking systems work. About the role As a Recommender Systems Intern at…

About Canva India

Canva India offers a mentor-led Recommender Systems Intern in Jalandhar with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jalandhar, PunjabVerified employer14 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 Jalandhar. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

3 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. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 4 months

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Openings14 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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