Principal Machine Learning Engineer

Palo Alto Networks seeks a Principal Machine Learning Engineer to lead the design and delivery of next-generation cloud security solutions. The role involves architecting the full ML lifecycle, building scalable infrastructure, and collaborating across teams to integrate AI into cybersecurity products.

• Provide technical leadership for end-to-end solution delivery, collaborating with cross-functional teams (Product, SRE, QA, and Support) to align engineering efforts with business objectives.
• Drive the development of scalable cloud security architecture through a balance of strategic planning and hands-on coding.
• Establish and evangelize best practices for model versioning, reproducibility, auditing, and compliance to ensure code quality and data privacy across the organization.
• Architect and lead the entire ML lifecycle, from initial development and training to production deployment and real-time inference.
• Build and maintain automated, resilient systems for continuous integration, delivery (CI/CD), and monitoring of backend and machine learning components.
• Continuously evaluate and integrate cutting-edge MLOps tools and frameworks to enhance system scalability, reliability, and efficiency.
• Design and implement robust, next-generation cloud security solutions to resolve complex backend infrastructure and ML model challenges.
• Strategically manage and optimize ML infrastructure and pipelines to improve performance, ensure smooth production integration, and reduce operational costs.