MLOps Engineer Intern

About this internship

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Skills you'll use

What you'll do

• Work on building the pipelines that get models retrained, deployed and watched alongside the core team
• Apply Kubeflow, MLflow, CI/CD for AI, Docker / Kubernetes to live, production-facing problems
• Document your work clearly for reviewers and stakeholders
• Participate in reviews and act on the feedback you receive
• Collaborate across engineering, product, design or business as required
• Follow the team's quality, testing and documentation standards

Who can apply

• Pursuing or recently completed B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) — 2026 freshers & final-year students welcome
• Working knowledge of Kubeflow, MLflow, CI/CD for AI (or a genuine willingness to learn them)
• Strong fundamentals in your discipline and clear problem-solving ability
• Care with detail and the discipline to document your work
• Clear written and verbal communication in English
• Based in or willing to work from Udaipur, Rajasthan

Perks & benefits

Interview & selection process

4 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. 3Discussion with the hiring manager on the role and your fit
4. 4HR discussion — stipend, start date, expectations and offer

About Scienaptic AI

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