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MTAR Technologies logo — MTAR Technologies Recommendation Systems Intern in Mapusa, Goa
MTAR Technologies VerifiedActively Hiring

Recommendation Systems Intern

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Location

Mapusa, Goa

Work Mode

In Office

Duration

4 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

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About the Internship

MTAR Technologies is hiring a Recommendation Systems Intern in Mapusa — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to recommender systems rather than a certificate-only programme. About the role As a Recommendation Systems Intern at MTAR…

About MTAR Technologies

MTAR Technologies offers a mentor-led Recommendation Systems Intern in Mapusa with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mapusa, GoaVerified employer8 openings
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Skills Required

PythonCollaborative FilteringMatrix FactorisationRanking MetricsEmbeddingsScikit-learnA/B TestingSQLFeature EngineeringGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Mapusa. You should be keen to learn Python, Collaborative Filtering, Matrix Factorisation 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 workflowsBroad ownership and direct exposure to founders and senior decision-makers

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
16,000/month

Stipend · 4 months

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Openings8 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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