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Qoruz logo — Qoruz MLOps Intern in Ahmedabad, Gujarat
Qoruz VerifiedActively Hiring

MLOps Intern

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Location

Ahmedabad, Gujarat

Work Mode

In Office

Duration

6 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Qoruz has an open MLOps Intern position in Ahmedabad for motivated freshers and final-year students. You will work on live MLOps projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Intern at Qoruz, your core focus will be versioning data, models…

About Qoruz

Qoruz offers a mentor-led MLOps Intern in Ahmedabad with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ahmedabad, GujaratVerified employer13 openings
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Skills Required

MLflowDockerCI/CD for MLModel RegistryKubernetes BasicsPythonData Versioning (DVC)Model MonitoringCloud ML ServicesGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Ahmedabad. You should be keen to learn MLflow, Docker, CI/CD for ML 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 experienceDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 6 months

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Openings13 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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