Senior MLOps & Observability Engineer

1801 Haleon Argentina S.A.; Buenos Aires; On-site; ARS 92,666,000 - 185,331,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Recognition for contributions

Global collaboration

Job summary

Proofpoint seeks a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba, Argentina. You will design and operate the infrastructure that moves ML models from development to production, ensuring secure, scalable deployment across cloud environments.

You'll build CI/CD pipelines, manage Kubernetes-based inference services, and lead FedRAMP-related security controls, collaborating with data scientists to accelerate experimentation while maintaining reliability and cost

Qualifications

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

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML model training and deployment.
• Manage container images and base image governance 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 to move experiments to production.
• Monitor infrastructure health, model serving performance, and costs.
• Maintain deployment and security documentation.
• Stay current with MLOps tooling and cloud-native security practices.

Skills

ML experience

Python

Kubernetes

CI/CD

Container security

Cloud platforms

Security compliance

ML model serving

SQL

Observability

Tools

Terraform

Helm

Jenkins

GitHub Actions

SageMaker

EKS

AKS

TorchServe

Triton

Job description

Proofpoint seeks a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Córdoba, Argentina. You will design and operate the infrastructure that moves ML models from development to production, ensuring secure, scalable deployment across cloud environments.

You'll build CI/CD pipelines, manage Kubernetes-based inference services, and lead FedRAMP-related security controls, collaborating with data scientists to accelerate experimentation while maintaining reliability and cost