Analyze complex problems and propose AI-driven solutions for cybersecurity use cases
Develop, test, and deploy AI/ML systems and applications
Implement and maintain data pipelines on cloud platforms like AWS and GCP
Collaborate with senior team members to design AI-enabled security solutions
Assist in developing and presenting technical findings to stakeholders

Bachelor's Degree
At least 3 years of experience in software development or AI/ML engineering
Demonstrating proficiency in Python and AI/ML frameworks
Building applications with LLM orchestration frameworks
Implementing cloud-native AI services on AWS or GCP
Gaining experience in a cybersecurity-related domain
Contributing to open-source projects in AI or cybersecurity
Utilizing ML Ops tools and practices such as Docker, Kubernetes, CI/CD for models
Working with AI-enabled automation platforms such as Swimlane, Torq or Tines
Professional certifications in cloud platforms preferred (e.g. (e.g., AWS Certified Machine Learning
Specialty, Google Professional Machine Learning Engineer)

Senior Associate, Cyber Strategy, Risk & Compliance – AI Engineering for Cybersecurity

Key skills