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MSCI India logo — MSCI India ML Platform Intern in Lucknow, Uttar Pradesh
MSCI India VerifiedActively Hiring

ML Platform Intern

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Location

Lucknow, Uttar Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

MSCI India is hiring a ML Platform Intern in Lucknow — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to ML platform engineering rather than a certificate-only programme. About the role As a ML Platform Intern at MSCI India, your core focus will be…

About MSCI India

MSCI India offers a mentor-led ML Platform Intern in Lucknow with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Lucknow, Uttar PradeshVerified employer2 openings
Apply to MSCI India

Skills Required

PythonFeature StoresKubernetesDockerModel ServingAirflowCloud InfrastructureMLflowDistributed TrainingGit

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 Lucknow. You should be keen to learn Python, Feature Stores, Kubernetes 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 CertificateDirect access to the team that owns the data you work on

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
18,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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