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Portea Medical logo — Portea Medical MLOps Engineer Intern in Nashik, Maharashtra
Portea Medical VerifiedActively Hiring

MLOps Engineer Intern

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Location

Nashik, Maharashtra

Work Mode

Work from Home

Duration

2 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Portea Medical has an open MLOps Engineer Intern position in Nashik 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 Portea…

About Portea Medical

Portea Medical offers a mentor-led MLOps Engineer Intern in Nashik with live project work in machine learning, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer14 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 Nashik. 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

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. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
33,000/month

Stipend · 2 months

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Openings14 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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