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Pocket FM logo — Pocket FM Elasticsearch Search Intern in Mumbai, Maharashtra
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Elasticsearch Search Intern

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Location

Mumbai, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Join Pocket FM in Mumbai as an Elasticsearch Search Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on search and log analytics with Elasticsearch work. About the role As an Elasticsearch Search Intern…

About Pocket FM

Pocket FM offers a mentor-led Elasticsearch Search Intern in Mumbai with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mumbai, MaharashtraVerified employer5 openings
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Skills Required

ElasticsearchIndex MappingsAnalysers & TokenizersQuery DSLRelevance TuningKibanaJSONPython or JavaPerformance TuningGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or B.Sc (Computer Science / IT) who are based in or willing to work from Mumbai. You should be keen to learn Elasticsearch, Index Mappings, Analysers & Tokenizers 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 mentorDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 3 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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