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Join Jar in Vijayawada as a MLOps Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on ML platform and operations work. About the role As a MLOps Engineer Intern at Jar, your core focus will be building the pipelines that get models retrained, deployed and watched. You are attached to a named mentor, join the team's stand-ups and reviews, and are trusted with work that matters rather than filler tasks. Questions are encouraged, your output is reviewed properly, and you get the feedback you need to actually improve. What you'll do day to day Work on building the pipelines that get models retrained, deployed and watched alongside the core team Use Kubeflow, MLflow, CI/CD for AI, Docker / Kubernetes, Model Monitoring & Drift Detection on live, production-facing problems Turn your work into clear documentation, notes or decks for reviewers Take part in reviews and act on the feedback you receive Collaborate across functions engineering, product, design or business as the work demands Follow the team's quality, testing and documentation standards Track and report your own progress against an agreed plan Skills you'll build You will build practical, demonstrable experience in Kubeflow, MLflow, CI/CD for AI, Docker / Kubernetes, Model Monitoring & Drift Detection, Python, Feature Stores, Model Registry & Versioning, Cloud ML Platforms, Infrastructure as Code the exact toolkit that separates a hireable fresher from a CV full of coursework. No prior work experience is required. Curiosity, problem-solving ability and a willingness to learn matter far more here than a polished rsum, and every one of these skills is taught on the job. Who should apply Students in their final year or recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) based in or willing to work from Vijayawada. You should be willing to learn Kubeflow, MLflow, CI/CD for AI and able to communicate clearly in writing. Personal projects, coursework, certifications or open-source contributions strengthen your application, but none of them are mandatory. Internship details This is a 6-month internship in Vijayawada, Andhra Pradesh, with a stipend of 41,000 per month. You will be given a defined project so that you leave with an automated retrain-and-deploy pipeline with drift alerts. Working hours follow the team's normal business hours and the internship includes a certificate on successful completion. By the end of the internship you will have hands-on command of the tools and workflows used in the field, plus the confidence that comes from solving genuine problems rather than textbook ones. Interns who excel are regularly offered a PPO and a path into a full-time position. How to apply Click Apply Now. If you are not logged in you will be asked to sign in and register first, after which you will be taken to Jar's official careers page to complete your application. Applications are reviewed on a rolling basis and seats are limited, so apply early. Responsibilities: 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. Requirements: 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 Vijayawada, Andhra Pradesh. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.