MLOps Engineer

PepsiCo • Cornellà del Terri, Catalunya • Posted June 19, 2026

Position Overview

Overview

We are seeking a Mid-Level MLOps Engineer to build, operate, and evolve our Kubeflow-based ML platform on Azure. This role focuses on enabling reliable, scalable, and cost-efficient ML workflows by designing CI/CD pipelines, managing Kubernetes-based ML infrastructure, improving platform observability, and supporting MLE and Data Science teams across the model lifecycle.

The ideal candidate is hands-on, comfortable working across infrastructure and ML workflows, and motivated to operationalize best practices in MLOps.


Responsibilities

Platform & Infrastructure:

  • Deploy, configure, and operate Kubeflow components on Azure Kubernetes Service (AKS)

  • Support Kubernetes workloads for training, inference, and batch pipelines

  • Manage container images, registries, and ML runtime environments

  • Assist with Kubeflow and Kubernetes upgrades under senior guidance

    • CI/CD & Autom...