Applied AI/ML Engineer for Innovative Cybersecurity

About

Take on the Applied AI/ML Engineer role in a hybrid setup, focusing on delivering advanced AI solutions. Join a mission-driven team dedicated to enhancing cybersecurity through innovative AI technologies.

In this position, you will architect and implement complex autonomous systems and workflows aimed at automating security operations. Your expertise in model optimization and machine learning pipeline management will be crucial, as you develop and refine AI capabilities within the cybersecurity landscape. Collaboration in a hybrid environment underscores the importance of your contributions in meeting strategic objectives.

Responsibilities

• Architect AI agent structures with advanced capabilities
• Develop and deploy intricate multi-agent systems
• Optimize Large and Small Language Models for applications
• Manage comprehensive machine learning lifecycle processes
• Benchmark model performance against key business metrics

Requirements

• At least 2 years in Machine Learning Engineering
• Advanced skills in Python and machine learning tools
• Proven track record in AI application development
• Strong analytical and optimization techniques knowledge
• Experience with MLOps best practices and tools

Leverage your expertise in AI and machine learning to craft solutions that enhance cybersecurity, all within a flexible, hybrid work environment.