Senior MLOps Engineer - Secure, Scalable ML Infra

Meridial; Buenos Aires; On-site; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Global collaboration

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. You will build and maintain the infrastructure that brings ML models from development to production, ensuring fast and secure model shipping across AWS, Azure, and on-prem environments.

You will lead CI/CD pipelines, container security, and scalable inference services, collaborating with data scientists to streamline experiments to production while monitoring performance and costs.

Qualifications

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

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML model training and deployment.
• Manage container images and security for ML inference services.
• Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure.
• Lead FedRAMP compliance efforts for ML infrastructure.
• Manage cloud resources to support model serving at scale.
• Collaborate with data scientists and ML engineers to move experiments to production.
• Monitor infrastructure health, model serving performance, and costs.
• Maintain deployment and security documentation; stay current with MLOps tooling.

Skills

Python

PyTorch

TensorFlow

SQL

Tools

Kubernetes

GitHub Actions

Harness

Jenkins

Terraform

Helm

Snyk

AWS

Azure

TorchServe

Triton

Prometheus

Grafana

Datadog

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. You will build and maintain the infrastructure that brings ML models from development to production, ensuring fast and secure model shipping across AWS, Azure, and on-prem environments.

You will lead CI/CD pipelines, container security, and scalable inference services, collaborating with data scientists to streamline experiments to production while monitoring performance and costs.