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Arihant Capital Markets logo — Arihant Capital Markets MLOps Engineer Intern in Bengaluru, Karnataka
Arihant Capital Markets VerifiedActively Hiring

MLOps Engineer Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

3 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Join Arihant Capital Markets in Bengaluru as a MLOps Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on ML platform and operations work. About the role As a MLOps Engineer Intern at Arihant…

About Arihant Capital Markets

Arihant Capital Markets offers a mentor-led MLOps Engineer Intern in Bengaluru with live project work in machine learning, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer2 openings
Apply to Arihant Capital Markets

Skills Required

KubeflowMLflowCI/CD for AIDocker / KubernetesModel Monitoring & Drift DetectionPythonFeature StoresModel Registry & VersioningCloud ML PlatformsInfrastructure as Code

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Bengaluru. You should be keen to learn Kubeflow, MLflow, CI/CD for AI 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

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
26,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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