Location
Faridabad, Haryana
Work Mode
In Office
Duration
4 months
Stipend
₹19,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Machine Learning
About the Internship
Pocket FM is hiring a Recommendation Systems Intern in Faridabad — 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 Pocket FM
Pocket FM offers a mentor-led Recommendation Systems Intern in Faridabad with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Pocket FMinternships →Faridabad, HaryanaVerified employer4 openings
Apply to Pocket FM →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 Faridabad. 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
Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3Technical interview on fundamentals and your projects
- 4HR discussion — stipend, start date, expectations and offer
₹19,000/month
Stipend · 4 months
Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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