Principal Machine Learning Engineer Dlp jobs at Palo Alto

The Principal Machine Learning Engineer (DLP) role is a highly sought-after position in the tech industry in Palo Alto. As the go-to data analytics expert, the Principal Machine Learning Engineer will develop and implement cutting-edge technologies to help address and solve data security-related problems. The Principal Machine Learning Engineer’s primary duties include proprietary data security research and analysis, algorithm design, system framework development, and data security analytics. The Principal Machine Learning Engineer is also responsible for creating data-driven routines and technologies to detect suspicious activities, identify risks, and apply security solutions for data loss prevention. The principal machine learning engineer must have expertise in developing and executing data analyses that detect anomalies in complex datasets and demonstrate expertise in big data analytics, machine learning, artificial intelligence, deep learning, and natural language processing systems. The ideal candidate is also experienced in developing and enhancing natural language processing systems and creating strategies to improve data security protection. The optimal candidate is a team player who is proactive, solutions-oriented, and able to maneuver within each department in the organization. Candidates must also be able to operate in a fast-paced environment in which the data security landscape is constantly changing. Expoint is seeking an experienced and highly capable Principal Machine Learning Engineer who can utilize the latest machine learning technologies and methodologies to protect sensitive information from data loss. This candidate will play a critical role in data security strategy building and execution and ensuring maximum safety and security of companies’ most crucial data.