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Pay10 logo — Pay10 MLOps Engineer Intern in Greater Noida, Uttar Pradesh
Pay10 VerifiedActively Hiring

MLOps Engineer Intern

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Location

Greater Noida, Uttar Pradesh

Work Mode

Work from Home

Duration

2 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹17,000/moApply on Company Website ↗

About the Internship

Pay10 has an open MLOps Engineer Intern position in Greater Noida for motivated freshers and final-year students. You will work on live machine learning operations projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Engineer Intern at Pay10…

About Pay10

Pay10 offers a mentor-led MLOps Engineer Intern in Greater Noida with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Greater Noida, Uttar PradeshVerified employer10 openings
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Skills Required

MLOpsMLflowDockerModel DeploymentCI/CDModel MonitoringPythonKubernetes BasicsFeature StoresGit

Who Can Apply

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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceBroad ownership and direct exposure to founders and senior decision-makers

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
17,000/month

Stipend · 2 months

Apply Now →
Openings10 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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