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Morningstar India logo — Morningstar India AI / Machine Learning Intern in Delhi, Delhi
Morningstar India VerifiedActively Hiring

AI / Machine Learning Intern

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Location

Delhi, Delhi

Work Mode

Hybrid

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Morningstar India is hiring an AI / Machine Learning Intern in Delhi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied AI and machine learning rather than a certificate-only programme. About the role As an AI / Machine Learning Intern at…

About Morningstar India

Morningstar India offers a mentor-led AI / Machine Learning Intern in Delhi with live project work in ai & machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Delhi, DelhiVerified employer2 openings
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Skills Required

PythonMachine LearningDeep LearningPyTorch / TensorFlowScikit-learnPandasFeature EngineeringModel EvaluationSQLMLOps Basics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Tech/MCA/M.Sc (CS, Statistics, Maths) who are based in or willing to work from Delhi. You should be keen to learn Python, Machine Learning, Deep Learning 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

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
25,000/month

Stipend · 3 months

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Openings2 positions
Applicants2 applied
ModeHybrid
CategoryAI & Machine Learning
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