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Airtel Payments Bank logo — Airtel Payments Bank MLOps Engineer Intern in Gwalior, Madhya Pradesh
Airtel Payments Bank VerifiedActively Hiring

MLOps Engineer Intern

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Location

Gwalior, Madhya Pradesh

Work Mode

In Office

Duration

6 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹32,000/moApply on Company Website ↗

About the Internship

Airtel Payments Bank is hiring a MLOps Engineer Intern in Gwalior — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to machine learning operations rather than a certificate-only programme. About the role As a MLOps Engineer Intern at Airtel Payments…

About Airtel Payments Bank

Airtel Payments Bank offers a mentor-led MLOps Engineer Intern in Gwalior with live project work in machine learning, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gwalior, Madhya PradeshVerified employer11 openings
Apply to Airtel Payments Bank

Skills Required

PythonMLflowDockerCI/CD PipelinesModel Monitoring & DriftCloud (AWS / Azure / GCP)Kubernetes BasicsFeature StoresModel VersioningLogging & Alerting

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science) who are based in or willing to work from Gwalior. You should be keen to learn Python, MLflow, Docker 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

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
32,000/month

Stipend · 6 months

Apply Now →
Openings11 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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