Senior MLOps Architect — Secure AI Infra

Content Creators; Buenos Aires; Remote; ARS 185,448,000 - 262,719,000; Full time

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. This role focuses on building and maintaining infrastructure to move ML models from development to production, ensuring secure, scalable, and reliable inference services across cloud environments.

You will collaborate with data scientists and ML engineers, manage CI/CD pipelines, and lead security/compliance efforts while optimizing resource usage and documenting architectures.

Qualifications

• 5+ years of machine learning experience with frameworks like PyTorch or TensorFlow.
• Strong Python programming skills and IaC experience (Terraform, Helm).
• Hands-on Kubernetes in production environments.
• Experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
• Familiarity with container security, image scanning, and vulnerability management.
• Experience with AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
• Knowledge of FedRAMP Moderate and SOC2 security frameworks.
• Experience with ML model serving frameworks (TorchServe, Triton).
• Strong SQL skills for querying operational data.
• Familiarity with observability tools (Prometheus, Grafana, Datadog).

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML model training and deployment.
• Manage container images, base image governance, and vulnerability remediation for ML inference services.
• Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments.
• Lead FedRAMP compliance efforts for ML infrastructure: security controls, audits, vulnerability scanning.
• Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) for scalable model serving.
• Collaborate with data scientists and ML engineers to streamline path from experiment to production.
• Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
• Maintain deployment and security documentation for processes and architecture.
• Stay current with MLOps tooling, cloud-native technologies, and security best practices.

Skills

Python

Kubernetes

CI/CD

Terraform

Helm

PyTorch

TensorFlow

TorchServe

Triton

SQL

Observability

Education

Bachelor's degree or higher in CS/Engineering

Tools

GitHub Actions

Harness

Jenkins

Docker

SageMaker

EKS

ECR

IAM/IRSA

AKS

Azure ML

Snyk

Prometheus

Grafana

Datadog

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. This role focuses on building and maintaining infrastructure to move ML models from development to production, ensuring secure, scalable, and reliable inference services across cloud environments.

You will collaborate with data scientists and ML engineers, manage CI/CD pipelines, and lead security/compliance efforts while optimizing resource usage and documenting architectures.