Job responsibilities
- Conducts AI red teaming exercises and security inference testing on traditional AI/ML models and LLMs to simulate adversarial attacks and test system resilience.
- Ensures the security of AI and Machine Learning systems through comprehensive testing.
- Executes creative security solutions, including design, development, and technical troubleshooting.
- Thinks beyond routine or conventional approaches to build solutions and solve technical problems.
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Collaborates with stakeholders and business leaders to understand and address security needs.
- Contributes to a team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on Security engineering concepts and 2+ years applied experience
- Hands on with Java, Spring and Spring Boot frameworks
- Experience in MySQL and SQL, capable of writing and maintaining stored procedures
- Experience in microservices architecture and API security.
- Skilled in using specialized tools, such as vulnerability scanners, for analyzing incident data.
- Holds a solid understanding of cloud computing concepts, including AWS or other cloud platforms, and container orchestration tools.
Preferred qualifications, capabilities, and skills
• Familiar with Python, demonstrates extensive Java coding and development expertise, with proficiency in coding in one or more additional programming.
• Familiar about AI system threats, attack surfaces, and security controls throughout the MDLC.
• Certifications in cloud security or AI/ML security.