Production ML Engineer — MLOps

Proofpoint; Córdoba; Presencial; ARS 104.359.234 - 163.993.082; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Global collaboration

Descripción de la vacante

Proofpoint, a global leader in cybersecurity, is seeking a Machine Learning Engineer in Argentina to design, build, and scale production ML systems for real-time threat detection. You will own the full ML lifecycle—from data pipelines and feature engineering to model training, serving, and monitoring at scale.

You will collaborate with data scientists, data engineers, and security teams to deliver robust solutions and ensure production excellence.

Formación

• 3–4 years of software engineering and ML systems experience.
• Strong Python programming and fundamentals in data structures and algorithms.
• Hands-on experience with ML frameworks in production (PyTorch, TensorFlow, Scikit-learn).
• Familiarity with ML deployment/serving frameworks (MLflow, TensorFlow Serving, KServe) and cloud platforms.

Responsabilidades

• Design and build scalable ML pipelines and data infrastructure for high-throughput threat detection.
• Own end-to-end deployment and monitoring of ML models in production, including A/B testing.
• Architect model serving solutions (REST APIs, batch prediction, streaming) to meet latency needs.
• Build feature pipelines and data infra to support training and inference at scale.
• Collaborate with data scientists to translate model requirements into production systems.
• Implement monitoring, logging, and alerting for ML models in production.
• Optimize model performance and manage compute costs and latency tradeoffs.

Conocimientos

Python

Data structures & algorithms

System design

ML pipelines

PyTorch/TensorFlow/Scikit-learn

AWS

CI/CD

Herramientas

MLflow

TensorFlow Serving

KServe

GoLang

AWS (EC2, S3, SageMaker)

Descripción del empleo

Proofpoint, a global leader in cybersecurity, is seeking a Machine Learning Engineer in Argentina to design, build, and scale production ML systems for real-time threat detection. You will own the full ML lifecycle—from data pipelines and feature engineering to model training, serving, and monitoring at scale.

You will collaborate with data scientists, data engineers, and security teams to deliver robust solutions and ensure production excellence.