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 idóneo 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 & Automation:
- Build and maintain CI/CD pipelines for ML workflows and platform services
- Automate model training, validation, and deployment pipelines
- Implement reproducibility and versioning for data,



models, and pipelines

Observability & Reliability:
- Implement logging, monitoring, and alerting at the platform level
- Diagnose and resolve workflow, pipeline, and infrastructure failures
- Support SLAs and reliability objectives for ML platforms

Collaboration & Enablement:
- Work closely with MLEs and Data Scientists to onboard workflows onto Kubeflow
- Provide best practices, templates, and documentation for ML teams
- Collaborate with Infra and Security teams on access control and compliance needs

Cost Awareness & Optimization:
- Assist with collecting and reporting costs at Kubeflow namespace or workflow level
- Identify optimization opportunities related to compute usage and scheduling

Qualifications
- 3–6 years of experience in MLOps, DevOps, or Platform Engineering
- Hands-on experience with Kubeflow, Kubernetes, Terraform (IaC), and containerized ML workloads
- Strong experience

📌 MLOps Engineer (Cornellà de Llobregat)
🏢 PepsiCo
📍 Cornellà de Llobregat