Senior MLOps Engineer – ML Infrastructure & Security

1801 Haleon Argentina S.A.; Buenos Aires; Remote; ARS 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness and outreach days

Recognition program

Global collaboration

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our ML and Data Science Team in Córdoba. You will build and maintain the infrastructure enabling rapid, secure deployment of ML models from development to production, across AWS and Azure, with a focus on reliability, scalability, and security.

You will lead FedRAMP compliance efforts, manage GPU resources, and collaborate with data scientists to streamline experimentation-to-production.

Qualifications

• 5+ years ML experience with PyTorch/TensorFlow; model serving is a plus.
• Strong Python; experience with Terraform/Helm or similar.
• Kubernetes expertise in production environments.
• Hands-on CI/CD experience (Harness/Jenkins/GitHub Actions).
• Container security: image scanning and vulnerability management.
• AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure AKS/ML.
• Security frameworks: FedRAMP Moderate, SOC2, or similar.
• ML model serving frameworks (TorchServe, Triton).
• Strong SQL; 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 and audits.
• Manage cloud resources to support model serving at scale.
• Collaborate with data scientists and ML engineers to streamline from experiment to production.
• Monitor infrastructure health, model serving performance, and cost efficiency.
• Maintain documentation for deployment processes, security reviews, and architecture.
• Stay current with MLOps tooling, cloud-native technologies, and security best practices.

Skills

Python

Terraform

Kubernetes

CI/CD

Security scanning

AWS

Azure

FedRAMP

TorchServe/Triton

SQL

Observability

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our ML and Data Science Team in Córdoba. You will build and maintain the infrastructure enabling rapid, secure deployment of ML models from development to production, across AWS and Azure, with a focus on reliability, scalability, and security.

You will lead FedRAMP compliance efforts, manage GPU resources, and collaborate with data scientists to streamline experimentation-to-production.