Responsibilities
- Partner with AI leadership, product teams, and engineers to define and implement artificial intelligence capabilities that strengthen security solutions.
- Develop and integrate machine learning models—including large language models, classification systems, and anomaly detection algorithms—into live production environments such as web application firewalls and behavioral analysis platforms.
- Construct high-performance, low-delay data and model pipelines using Python, C++, and SQL, prioritizing efficiency, scalability, and long-term maintainability.
- Utilize adversarial machine learning and behavioral analysis techniques to distinguish automated bot activity from legitimate human user behavior under real-world traffic conditions.
- Create and refine data processing workflows to improve the accuracy, speed, and reliability of AI-driven decisions across operational services.
- Continuously track, assess, and enhance the performance of deployed models, enabling adaptive responses to evolving attack patterns and threats.
- Communicate findings, limitations, and technical choices clearly and effectively to both engineering teams and non-technical decision-makers.
- Support the growth of AI engineering excellence by guiding team members, performing code reviews, and advancing internal tools and development practices.
Work Arrangement
Remote (Worldwide)
Other
We are committed to building a diverse and inclusive workplace. All applicants are encouraged to apply, and we actively seek individuals from varied backgrounds to strengthen our team.
