Description:

Build the intelligence layer of edge defenses using machine learning models for anomaly detection and intrusion prevention.
Design, train, and deploy models to process massive volumes of HTTP traffic in real-time.
Collaborate with security engineers to simulate threats and generate datasets for model training.
Create data pipelines for continuous traffic log ingestion and model performance monitoring.

Requirements:

Proficiency in Python and SQL, with experience in ML libraries like PyTorch, TensorFlow, or Scikit-Learn.
Experience deploying ML models in production with high-throughput and low-latency requirements.
Strong understanding of web security, HTTP protocols, and common attack vectors.
Familiarity with edge computing platforms and CDN/WAF concepts.
Solid software engineering skills, capable of writing production-ready services in Python, Rust, or TypeScript.
Experience with cloud infrastructure (GCP/AWS) and managing large datasets.
Ability to work autonomously in a remote team and communicate effectively in English and Portuguese.

Skills