Senior Security Data Scientist, Global Services Security at Amazon
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machine learning
generative ai
engineering
This role with partner with the existing Security Experts to validate that security controls are enabled throughout the lifecycle of traditional Machine Learning and Generative AI phases of model development. The security controls will be defined from the early experimentation phases to model fine-tuning to model deployment and ongoing operational governance.
Key job responsibilities
• Lead the development of security guidance on the use of AI/ML, particularly generative AI
• Collaborate with security experts to validate and recommend security controls applicable for all phases of AI/ML/Gen AI development lifecycle
• Design, build, test, and help deploy ML and generative AI solutions that have measurable business and customer impact in security.
• Interact with internal and external customers to understand their business problems and help them in implementation of their generative AI and ML solutions
• Facilitate discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Create detailed security documentation of solutions using reference architectures and implementation/configuration guidance
• Collaborate with AI/ML peers to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
• Provide customer and market feedback to Service and Engineering teams to help define product direction
• Work with a cross section of AI experts to develop solutions that will be piloted with customers for their production workloads
We are open to hiring candidates to work out of one of the following locations:
Herndon, VA, USA
Key job responsibilities
• Lead the development of security guidance on the use of AI/ML, particularly generative AI
• Collaborate with security experts to validate and recommend security controls applicable for all phases of AI/ML/Gen AI development lifecycle
• Design, build, test, and help deploy ML and generative AI solutions that have measurable business and customer impact in security.
• Interact with internal and external customers to understand their business problems and help them in implementation of their generative AI and ML solutions
• Facilitate discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Create detailed security documentation of solutions using reference architectures and implementation/configuration guidance
• Collaborate with AI/ML peers to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
• Provide customer and market feedback to Service and Engineering teams to help define product direction
• Work with a cross section of AI experts to develop solutions that will be piloted with customers for their production workloads
We are open to hiring candidates to work out of one of the following locations:
Herndon, VA, USA