Senior MLOps Engineer - Cloud-Native ML Infrastructure

1801 Haleon Argentina S.A.; Buenos Aires; Remote; ARS 142,000 - 191,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Job summary

Proofpoint is hiring a Senior MLOps Engineer to join the Machine Learning and Data Science Team. You will build and maintain the infrastructure that brings ML models from development to production, enabling faster, safer model shipping.

You will lead CI/CD for ML, manage container images, deploy ML inference endpoints on Kubernetes across AWS and Azure, and drive security and compliance across the stack.

Qualifications

• 5+ years of machine learning experience with PyTorch or TensorFlow.
• Strong Python and infrastructure-as-code experience.
• Production Kubernetes expertise and CI/CD mastery.

Responsibilities

• Design, build, and maintain ML CI/CD pipelines for training and deployment.
• Manage container images and vulnerability remediation for ML services.
• Deploy and operate ML endpoints on Kubernetes across cloud environments.
• Lead security and compliance efforts for ML infrastructure.
• Collaborate with data scientists to streamline production workflows.
• Monitor performance, cost, and reliability of ML serving clusters.

Skills

Python

Kubernetes

CI/CD

Terraform

AWS

Azure

Security

Model serving

ML frameworks

SQL

Observability tools

Tools

Harness

GitHub Actions

Docker

EKS

AKS

Job description

Proofpoint is hiring a Senior MLOps Engineer to join the Machine Learning and Data Science Team. You will build and maintain the infrastructure that brings ML models from development to production, enabling faster, safer model shipping.

You will lead CI/CD for ML, manage container images, deploy ML inference endpoints on Kubernetes across AWS and Azure, and drive security and compliance across the stack.