Senior MLOps Engineer — AI-Driven Workflows

1801 Haleon Argentina S.A.; Buenos Aires; Remote; ARS 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness and community outreach

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba. You will build and maintain infrastructure that brings machine learning models from development to production, shaping how fast and securely we ship ML models.

You will lead CI/CD pipelines, container security, and scalable deployment across AWS and Azure, collaborating with data scientists to turn experiments into reliable production endpoints.

Qualifications

• 5+ years of machine learning experience with frameworks like PyTorch, TensorFlow.
• Strong proficiency in Python, with experience in infrastructure-as-code tools (Terraform, Helm, or similar).
• Strong experience with Kubernetes (deployment, scaling, troubleshooting) in production environments.
• Hands-on experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
• Familiarity with container security: image scanning, vulnerability management, base image pipelines.
• Experience with AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
• Knowledge of security compliance frameworks (FedRAMP Moderate, SOC2, or similar).
• Experience with ML model serving frameworks (TorchServe, Triton, or custom inference endpoints).
• Strong SQL skills for querying operational and telemetry data.
• Familiarity with observability tools (Prometheus, Grafana, Datadog) for monitoring ML systems.

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar).
• 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 to ensure our inference services are secure, scalable and reliable.
• Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation.
• Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) to support model serving at scale.
• Collaborate with data scientists and ML engineers to streamline the path from experiment to production.
• Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
• Maintain documentation for deployment processes, security reviews, and infrastructure architecture.
• Stay current with MLOps tooling, cloud-native technologies, and security best practices.

Skills

Python

PyTorch

TensorFlow

Kubernetes

Terraform

Helm

GitHub Actions

Harness

Jenkins

SQL

CI/CD

Observability tools

Tools

AWS

SageMaker

EKS

ECR

IAM/IRSA

Azure

AKS

Azure ML

Snyk

CIS

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba. You will build and maintain infrastructure that brings machine learning models from development to production, shaping how fast and securely we ship ML models.

You will lead CI/CD pipelines, container security, and scalable deployment across AWS and Azure, collaborating with data scientists to turn experiments into reliable production endpoints.