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Standard Chartered logo — Standard Chartered MLOps Engineer Intern in Chennai, Tamil Nadu
Standard Chartered VerifiedActively Hiring

MLOps Engineer Intern

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Location

Chennai, Tamil Nadu

Work Mode

In Office

Duration

3 months

Stipend

₹28,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹28,000/moApply on Company Website ↗

About the Internship

Standard Chartered is hiring a MLOps Engineer Intern in Chennai — 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 Standard Chartered…

About Standard Chartered

Standard Chartered offers a mentor-led MLOps Engineer Intern in Chennai with live project work in machine learning, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
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Chennai, Tamil NaduVerified employer9 openings
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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 Chennai. 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

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. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
28,000/month

Stipend · 3 months

Apply Now →
Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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