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Branch International logo — Branch International MLOps Engineer Intern in Faridabad, Haryana
Branch International VerifiedActively Hiring

MLOps Engineer Intern

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Location

Faridabad, Haryana

Work Mode

In Office

Duration

4 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Branch International is hiring a MLOps Engineer Intern in Faridabad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to machine learning operations rather than a certificate-only programme. About the role As a MLOps Engineer Intern at Branch…

About Branch International

Branch International offers a mentor-led MLOps Engineer Intern in Faridabad with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Faridabad, HaryanaVerified employer14 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 Faridabad. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsDirect access to the team that owns the data you work on

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
19,000/month

Stipend · 4 months

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Openings14 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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