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Meta logo — Meta Predictive Modelling Intern in Jodhpur, Rajasthan
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Predictive Modelling Intern

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Location

Jodhpur, Rajasthan

Work Mode

Hybrid

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Meta is hiring a Predictive Modelling Intern in Jodhpur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to predictive modelling for business outcomes rather than a certificate-only programme. About the role As a Predictive Modelling Intern at Meta…

About Meta

Meta offers a mentor-led Predictive Modelling Intern in Jodhpur with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jodhpur, RajasthanVerified employer9 openings
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Skills Required

PythonRegression & ClassificationScikit-LearnFeature EngineeringModel Interpretability (SHAP)SQLStatistical AnalysisCross-ValidationBusiness MetricsData Visualisation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics), MCA or MBA (Analytics) who are based in or willing to work from Jodhpur. You should be keen to learn Python, Regression & Classification, Scikit-Learn 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:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
22,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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