Prime Security is at the cutting edge of integrating artificial intelligence with cybersecurity. Backed by industry experts and leading venture capital, we empower teams to make risk-aware decisions through innovative, AI-driven security tools. Our mission is to enable Product Security teams to accelerate the business with risk-aware decisions.

About The Role

• At Prime Security, we are on the forefront of integrating artificial intelligence with security to empower product security teams. As an Applied AI Engineer, you will be instrumental in architecting and developing the Prime Security AI risk engine. This engine will analyze vast amounts of unstructured data from, assess risks, predict potential security issues, and formulate actionable mitigation strategies.
  
  

What You'll Do

• Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems
• Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks
• Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically
• Participate in the ongoing development of Prime's AI capabilities, pushing the boundaries of automated security risk assessments
• Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders
  
  

Qualifications

• Bachelor's degree in Computer Science, AI, Machine Learning, or a related field
• Proven experience in developing machine learning models and employing GenAI
• solutions in a production environment
• 5 - 7 years of experience working in Python, R, or a similar language
• Experience with data processing and machine learning frameworks such as TensorFlow,
• Keras, or PyTorch
• Familiarity with Jira or similar platforms and an understanding of software development
• and security processes
• Excellent problem-solving skills and the ability to work in a dynamic, fast-paced
• environment