Senior MLOps Engineer: Deploy ML at Scale

Ausenco; Buenos Aires; Remote; ARS 3,000,000 - 5,400,000; Full time

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join the Machine Learning and Data Science Team in Cordoba. You will design and maintain infrastructure to bring ML models from development to production, ensuring fast, secure, and scalable deployment across cloud environments.

You will lead CI/CD pipelines, manage ML inference endpoints on Kubernetes, and oversee image governance and vulnerability remediation while aligning with FedRAMP security controls.

Qualifications

• Experience designing and operating ML model CI/CD pipelines.
• Hands-on with Kubernetes-based deployment and scaling.
• Cloud platforms experience (AWS/Azure) and GPU resources.
• Familiarity with security/compliance (FedRAMP) is a plus.
• Strong collaboration with ML and data science teams.

Responsibilities

• Design, build, and maintain ML model CI/CD pipelines.
• Manage ML inference endpoints on Kubernetes across clouds.
• Govern container images and remediation of vulnerabilities.
• Lead FedRAMP compliance efforts for ML infrastructure.
• Manage cloud resources (GPU nodes) and monitoring.

Skills

CI/CD for ML

Kubernetes

AWS

Azure

ML inference

Tools

Harness

GitHub Actions

Snyk

CIS controls

Docker

Kubernetes

AWS

Azure

Job description

Proofpoint is seeking a Senior MLOps Engineer to join the Machine Learning and Data Science Team in Cordoba. You will design and maintain infrastructure to bring ML models from development to production, ensuring fast, secure, and scalable deployment across cloud environments.

You will lead CI/CD pipelines, manage ML inference endpoints on Kubernetes, and oversee image governance and vulnerability remediation while aligning with FedRAMP security controls.