Senior MLOps & Data Insights Lead

Alignerr Corp.; Buenos Aires; Remote; ARS 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Cordoba, Argentina. You will build and operate the infrastructure that brings ML models from development to production, enabling secure, scalable model serving across cloud environments.

You will design CI/CD pipelines, manage container images, and lead security and compliance efforts (FedRAMP, SOC2) while collaborating with data scientists to accelerate experimentation into production with

Qualifications

• 5+ years of ML experience with PyTorch or TensorFlow.
• Strong Python programming skills.
• Production Kubernetes experience.
• Hands-on CI/CD with Harness, Jenkins, or GitHub Actions.
• Secure ML infra and container security awareness.
• Experience with AWS and Azure services.
• Knowledge of FedRAMP and SOC2 compliance.
• Experience with ML model serving frameworks.
• Strong SQL skills for telemetry data.
• Familiarity with observability tools like Prometheus, Grafana.

Responsibilities

• Design and maintain CI/CD for ML model training and deployment.
• Manage container images and base image security.
• Deploy ML inference endpoints on Kubernetes in AWS/Azure.
• Lead FedRAMP compliance for ML infra.
• Manage cloud resources for scalable model serving.
• Collaborate with data scientists to move experiments to production.
• Monitor infra health, model performance, and cost.
• Maintain deployment docs and security reviews.
• Stay current with MLOps tooling and cloud-native security.

Skills

Python

Kubernetes

CI/CD

AWS

Azure

FedRAMP

Model serving

SQL

Terraform

Helm

Observability

Tools

Terraform

Helm

SageMaker

EKS

ECR

AKS

Azure ML

Job description

Proofpoint is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team in Cordoba, Argentina. You will build and operate the infrastructure that brings ML models from development to production, enabling secure, scalable model serving across cloud environments.

You will design CI/CD pipelines, manage container images, and lead security and compliance efforts (FedRAMP, SOC2) while collaborating with data scientists to accelerate experimentation into production with