Discover Financial Services · 4 hours ago
Expert Cybersecurity Engineer ( GenAI )
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Responsibilities
Develop and implement capabilities (process and tooling) to identify security risks in open source AI ML model evaluations, employing advanced ML and AI techniques.
Build and maintain scalable systems and processes to support open source AI safety evaluations and threat mitigation strategies.
Implement end-to-end LLM security risk management processes and automated protections.
Evaluate and assess open-source AI security libraries to build into enterprise AI open source security evaluation.
Provide engineering design and support in developing requirements for AI ML CI/CD pipeline
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.
Establish and govern AI/ML and Generative AI application security standards.
Collaborating with multi-functional teams, including researchers, ML engineers, and security experts, to develop and implement best-in-class security solutions for AI systems.
Acts as the principal advisor to upper management in Cybersecurity matters.
Establish the direction for major engineering initiatives. Provides requirements to Cybersecurity architects and engineers in the design and development of security solutions consistent with business goals and risk tolerance.
Works closely with architects, engineers, and key stakeholders to ensure security requirements are effectively met through all phases of system lifecycles.
Determines whether systems perform as expected, provides input to the determination of operational effectiveness, and takes action to remediate issues and resolve gaps.
Directs security solutions and technical assurance in alignment with business risk and regulatory requirements
Works closely with management to define, promote, and present the strategic direction of the department.
Provides strong leadership and direction to team members. Provides subject matter expertise across all Cybersecurity technologies, and across Infra, Data, and Operations departments.
Identifies, evaluates and remediates potential vulnerabilities, and develop cyber solutions, internal processes and standards for threat intelligence workflow.
Qualification
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Required
Bachelor’s degree in Computer Science, Engineering, Informatics, Information Security, Information Technology
8+ years of experience in Information Security, Application Security, Security Engineering or related
Technical proficiency rating of Expert on the Dreyfus Cyber engineering scale
Preferred
Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.
Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits.
Hands-on experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code.
Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments.
Hands-on experience evaluating open-source ML tools, frameworks, and libraries.
Hands-on experience with commonly used data science programming languages, packages, and tools.
Hands-on experience with MLOps, DevOps, DataOps and API integrations.
Hands-on experience with AI/ML technologies, including proficiency in Python, Rust, Go, and ML frameworks like TensorFlow, PyTorch, Keras.
Demonstrated experience in red-team and penetration testing engagements.
Excellent communication skills, with the ability to articulate complex technical findings to diverse teams.
Company
Discover Financial Services
We are Discover. As one of the most recognized brands in U.S.
Funding
Current Stage
Public CompanyTotal Funding
unknown2024-02-19Acquired· undefined
2007-06-22IPO· undefined
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