Senior MLOps & AI Analytics Leader

1300 Accenture Srl Company; Buenos Aires; On-site; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Career growth opportunities

Flexible work environment

Wellness and community days

Recognized contributions

Job summary

Proofpoint is seeking a Senior MLOps Engineer to build and maintain scalable ML infrastructure and production pipelines.You will ship ML models safely from development to production, ensuring secure, reliable operations across AWS and Azure environments.

You will collaborate with data scientists and ML engineers to optimize workflows, monitor performance, and drive cost efficiency while maintaining robust security practices.

Qualifications

• 5+ years in ML/AI with model deployment experience.
• Strong Python and cloud-native infra skills.
• Hands-on with Kubernetes in production.
• Experience with CI/CD platforms and security controls.

Responsibilities

• Design, build, and maintain ML CI/CD pipelines for training and deployment.
• Manage container images, base image governance, and vulnerability remediation.
• Deploy ML inference endpoints on Kubernetes across AWS and Azure.
• Lead FedRAMP compliance for ML infrastructure.
• Manage cloud resources to support model serving at scale.
• Collaborate with data scientists to streamline production paths.
• Monitor health, performance, and cost across clusters.
• Maintain deployment and security documentation.

Skills

Python

Kubernetes

Terraform

Helm

CI/CD

AWS

Azure

FedRAMP

TorchServe

SQL

Observability

Security

Tools

Harness

GitHub Actions

Snyk

CIS

Job description

Proofpoint is seeking a Senior MLOps Engineer to build and maintain scalable ML infrastructure and production pipelines.You will ship ML models safely from development to production, ensuring secure, reliable operations across AWS and Azure environments.

You will collaborate with data scientists and ML engineers to optimize workflows, monitor performance, and drive cost efficiency while maintaining robust security practices.