Edge ML Engineer - Anomaly & Threat Detection

CloudWalk; United States; Remoto; USD 120.000 - 180.000; Tempo integral

Resumo da vaga

CloudWalk is seeking engineers to build edge intelligence, training ML models for anomaly detection, bot mitigation, and zero-day intrusion detection. The role involves deploying at scale, optimizing inference at the edge, and collaborating with offensive security to convert attacks into quality datasets for model training.

You will design robust data pipelines that ingest traffic logs, monitor model performance, and automate retraining based on the latest threat intelligence, ensuring ultra-low

Responsabilidades

• Build edge intelligence. Design and train machine learning models focused on anomaly detection, bot mitigation, and zero-day intrusion detection.
• Deploy at scale. Implement and optimize inference models to run efficiently at the edge, processing massive volumes of HTTP traffic with ultra-low latency.
• Turn attacks into data. Work closely with our offensive security engineers to understand attack vectors, simulate realistic threats, and generate high-quality datasets for model training.
• Automate the defense. Create robust data pipelines that continuously ingest traffic logs, monitor model performance, detect concept drift, and automate retraining based on the latest threat intelligence.

Descrição da vaga

CloudWalk is seeking engineers to build edge intelligence, training ML models for anomaly detection, bot mitigation, and zero-day intrusion detection. The role involves deploying at scale, optimizing inference at the edge, and collaborating with offensive security to convert attacks into quality datasets for model training.

You will design robust data pipelines that ingest traffic logs, monitor model performance, and automate retraining based on the latest threat intelligence, ensuring ultra-low