AI Security Engineer

📋 Description

• Design and operate automated data collection, mining, and web-scraping pipelines to gather threat
• Build data processing, annotation, and dataset curation workflows, training and re-training various
• Build mechanisms to capture false-positive (FP) samples from live user/DDR flows and represent /
• Develop automated benchmarking and evaluation harnesses to continuously test model detection
• Build automated pipelines for model training for various models.
• Work closely with research and software engineering teams to turn raw detection telemetry into

🎯 Requirements

• 2–4 years of experience in software engineering, data engineering, or automated QA/evaluation roles.
• Strong programming proficiency in Python; Adv: C++, SQL.
• Experience in model training and various ML, AI algorithms.
• Experience building data pipelines, web scrapers, or automated data processing systems.
• Familiarity with data structures, storage formats, and database configurations.
• Methodical approach to dataset labeling, validation, bug logging, and metric tracking.