Senior MLOps Engineer: AI Models Deploy & Secure Infra

1801 Haleon Argentina S.A.; Buenos Aires; On-site; ARS 138,998,000 - 185,331,000; Full time

Benefits offered by this job

Competitive pay

Comprehensive benefits

Flexible work environment

Wellness days

Recognition program

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba, Argentina. You will build and maintain the infrastructure enabling rapid, secure deployment of ML models to production across AWS and Azure.

You will design CI/CD pipelines, manage container images, and lead security compliance efforts, including FedRAMP. The role collaborates with data scientists and ML engineers to scale model serving and optimize costs.

Qualifications

• 5+ years of machine learning experience with frameworks like PyTorch or TensorFlow.
• Strong proficiency in Python with infrastructure-as-code tools (Terraform, Helm, or similar).
• Strong experience with Kubernetes in production environments.
• Hands-on 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 security compliance frameworks (FedRAMP Moderate, SOC2).
• Experience with ML model serving frameworks (TorchServe, Triton).
• Strong SQL skills for telemetry 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, audit prep, vulnerability scanning, remediation.
• Manage cloud resources to support model serving at scale.
• 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 documentation for deployment processes and security reviews.
• Stay current with MLOps tooling, cloud-native technologies, and security best practices.

Skills

Python

Kubernetes

Terraform

CI/CD

Cloud (AWS/Azure)

Security compliance

Model serving

SQL

Observability tools

Tools

GitHub Actions

Harness

Docker

Helm

Snyk

SRE tooling

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba, Argentina. You will build and maintain the infrastructure enabling rapid, secure deployment of ML models to production across AWS and Azure.

You will design CI/CD pipelines, manage container images, and lead security compliance efforts, including FedRAMP. The role collaborates with data scientists and ML engineers to scale model serving and optimize costs.