Senior MLOps Engineer - Enterprise AI Transformation

Proppel Inc.

Buenos Aires

Vor Ort

ARS 92.724.000 - 185.448.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Competitive compensation
Comprehensive benefits
Flexible work environment
Wellness and community days

Zusammenfassung

Proofpoint in Córdoba, Argentina is seeking a Senior MLOps Engineer to build and maintain the infrastructure that takes ML models from development to production. You will shape scalable pipelines, manage inference endpoints on Kubernetes across AWS and Azure, and drive security and compliance initiatives that protect organizations from threats.

You will collaborate with data scientists and ML engineers to optimize the path from experimentation to production, monitor health and cost, and maintain

Qualifikationen

  • 5+ years of ML experience with PyTorch or TensorFlow.
  • Strong Python proficiency with IaC tools (Terraform, Helm).
  • Kubernetes in production environments with scaling and troubleshooting.
  • CI/CD experience with Harness, Jenkins, or GitHub Actions.
  • Container security and image scanning practices.
  • Experience with AWS (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
  • Knowledge of FedRAMP Moderate, SOC2 or similar security frameworks.
  • Experience with ML model serving frameworks (TorchServe, Triton).
  • Strong SQL skills and familiarity with observability tools like Prometheus, Grafana, Datadog.

Aufgaben

  • Design, build, and maintain CI/CD pipelines for ML model training and deployment.
  • Manage container images, base image governance, and vulnerability remediation.
  • Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure.
  • Lead FedRAMP compliance efforts for ML infrastructure including audits and remediation.
  • Manage cloud resources (GPU nodes, compute clusters) 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.
  • Maintain deployment & security documentation and architecture diagrams.
  • Stay current with MLOps tooling and security best practices.

Kenntnisse

Python
Kubernetes
CI/CD pipelines
Terraform
Helm
AWS
Azure
Security frameworks
Model serving
SQL
Observability
Snyk
Prometheus
Grafana
Datadog
FedRAMP
TorchServe/Triton

Tools

GitHub Actions
Harness
Jenkins
S3
EKS
IAM/IRSA
Terraform
Helm
Docker
Snyk

Jobbeschreibung

Proofpoint in Córdoba, Argentina is seeking a Senior MLOps Engineer to build and maintain the infrastructure that takes ML models from development to production. You will shape scalable pipelines, manage inference endpoints on Kubernetes across AWS and Azure, and drive security and compliance initiatives that protect organizations from threats.

You will collaborate with data scientists and ML engineers to optimize the path from experimentation to production, monitor health and cost, and maintain

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