Hybrid MLOps Engineer — Kubeflow on Azure

PepsiCo; Barcelona; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Entrepreneurial environment

Learning opportunities

Wellbeing benefits

Descripción de la vacante

PepsiCo seeks a Mid-Level MLOps Engineer to build and operate a Kubeflow-based ML platform on Azure. You will design CI/CD pipelines, manage Kubernetes ML infrastructure, and improve platform observability while supporting MLE and Data Science teams across the model lifecycle.

The role is hands-on, collaborating with Infra, Security, and Data teams to operationalize best practices, optimize costs, and enable scalable ML workflows in a hybrid work model.

Formación

• 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 with Azure cloud services (AKS, ACR, Storage, Networking, IAM, AD Groups).
• Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience building CI/CD pipelines (GitHub Actions, Azure DevOps, Argo, etc.).
• Understanding of ML lifecycle management (training, inference, monitoring, retraining).
• Familiarity with observability tools (Prometheus, Grafana, Azure Monitor, DataDog).
• Strong collaboration and communication skills.

Responsabilidades

• Platform & Infrastructure: Deploy, configure, and operate Kubeflow components on AKS; Manage ML workloads and runtimes.
• CI/CD & Automation: Build and maintain CI/CD pipelines for ML workflows and platform services; automate training, validation, and deployment pipelines.
• Observability & Reliability: Implement logging, monitoring, and alerting; diagnose and resolve failures; support SLAs for ML platforms.
• Collaboration & Enablement: Onboard workflows to Kubeflow; provide templates and documentation; work with Infra and Security on access control and compliance.

Conocimientos

Kubeflow

Kubernetes

Terraform

Python

CI/CD pipelines

ML lifecycle management

Observability tools

Herramientas

Azure AKS

Azure CLI/ACR

GitHub Actions

Argo

Azure DevOps

Prometheus

Grafana

DataDog

Descripción del empleo

PepsiCo seeks a Mid-Level MLOps Engineer to build and operate a Kubeflow-based ML platform on Azure. You will design CI/CD pipelines, manage Kubernetes ML infrastructure, and improve platform observability while supporting MLE and Data Science teams across the model lifecycle.

The role is hands-on, collaborating with Infra, Security, and Data teams to operationalize best practices, optimize costs, and enable scalable ML workflows in a hybrid work model.