Join Jar in Vijayawada as a MLOps Engineer Intern This entrylevel 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 teams standups 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 youll 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 productionfacing 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 teams quality testing and documentation standards Track and report your own progress against an agreed plan Skills youll 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 problemsolving 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 opensource contributions strengthen your application but none of them are mandatory Internship details This is a 6month 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 retrainanddeploy pipeline with drift alerts Working hours follow the teams normal business hours and the internship includes a certificate on successful completion By the end of the internship you will have handson 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 fulltime 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 Jars 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 productionfacing 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 teams 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 finalyear 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 problemsolving ability Care with detail and the discipline to document your work Transparent written and verbal communication in English Based in or willing to work from Vijayawada Andhra Pradesh

📌 MLOps Engineer Intern (Vijayawada)
🏢 Jar
📍 Vijayawada