✨ About The Role
- The ML Application Security Engineer will work directly with customers to assess and enhance their AI/ML security posture.
- Responsibilities include providing expert guidance and support to clients regarding their security needs.
- The role involves designing and implementing architectural patterns and proof of concepts for secure SaaS-based platform deployments.
- Collaboration with cross-functional teams, including Product Managers and Engineers, is necessary to gather customer requirements.
- The position offers the opportunity to see a direct impact on end customers in a short timeframe.
âš¡ Requirements
- The ideal candidate has significant experience in deploying and securing production AI/ML infrastructure in complex environments.
- A deep understanding of popular security posture management tools and practices is essential for success in this role.
- Familiarity with AI/ML concepts, particularly LLM implementations and their security implications, is crucial.
- Previous experience in security services setup or at a large SaaS security company is highly desirable.
- The candidate should be motivated to work in a fast-paced environment and be excited about democratizing AI advancements responsibly.