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i2iFunding logo — i2iFunding MLOps Engineer Intern in Mumbai, Maharashtra
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MLOps Engineer Intern

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Location

Mumbai, Maharashtra

Work Mode

In Office

Duration

3 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

i2iFunding has an open MLOps Engineer Intern position in Mumbai for motivated freshers and final-year students. You will work on live ML platform and operations projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Engineer Intern at i2iFunding…

About i2iFunding

i2iFunding offers a mentor-led MLOps Engineer Intern in Mumbai with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mumbai, MaharashtraVerified employer3 openings
Apply to i2iFunding

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 Mumbai. 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

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 3 months

Apply Now →
Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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