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6 years of experience
Skills Kubernetes GCP Production Support
Organizational Context Senior Development Operations Engineer. Executes endtoend information security IT risk management processes and automated capabilities that promote trustworthy AI practices. Works across many organizations both internal and external to meet business needs and compliance goals. Leads cross department initiatives covering a wide range of businesstechnical functions.
Focus Responsible for the development and or delivery of AIML security initiatives projects or programs that have objectives associated with incorporating AI safety controls adversarial robustness and stress testing of AIML systems Responsible for designing and implementing processes to understand measure and improve the organization ability to protect AIML models implement AI safety controls for responsible use of LLM Large Language Modelapplications.
Key Responsibilities
Implement secure model development life cycle practices with automated white box and black box assessments for AIML models.
Deliver and integrate AI robustness vulnerability and stress testing capabilities with MLOps ecosystems.
Evaluate and assess open source AI security libraries to build into enterprise AI stress testing and audit capabilities.
Implement endtoend LLM security risk management processes and automated protections.
Incorporate machine learning models into diverse application security tooling and processes.
Support production deployments of AIML safety systems using cloudnative packaging and deployment techniques suchas containers serverless CI CD and APIs.
Establish and govern AIML and Generative AI application security standards.
Provide production support and operations for AIML security systems.
Manage cloud deployments and automation frameworks in cloud for AIML security systems
MANDATE SKILLS:
Linux
Kubernete
CI/CD
Docker
Terraform
Full-Time