AI​/Emerging Tech Security Analyst

The convergence of AI and cybersecurity presents novel challenges and opportunities. As an AI / Emerging Tech Security Analyst, you will be at the forefront, evaluating the security implications of cutting-edge AI systems and emerging technologies, ensuring their safe and responsible deployment.

• Evaluate AI outputs related to the security of machine learning models, including adversarial attacks (e.g., poisoning, evasion) and model inversion.
• Assess the accuracy and relevance of AI-generated insights on securing AI/ML pipelines, data provenance, and model integrity.
• Provide detailed feedback on AI's understanding of privacy-preserving AI techniques (e.g., differential privacy, federated learning) and their security implications.
• Develop benchmark scenarios for AI to analyze, covering topics like securing large language models (LLMs), generative AI, and AI in critical infrastructure.
• Validate AI's explanations of emerging tech threats, such as quantum computing's impact on cryptography or blockchain security vulnerabilities.
• Refine AI's ability to identify and mitigate risks associated with new technologies before they become widespread.

• Minimum 5 years of experience in cybersecurity, with at least 2 years focused on AI/ML security or emerging technologies.
• Strong understanding of machine learning concepts, model architectures, and data science workflows.
• Familiarity with common AI/ML security frameworks (e.g., MITRE ATLAS, OWASP Top 10 for LLMs).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in Python and relevant ML libraries (e.g., Tensor Flow, PyTorch) for security analysis.
• Ability to research and analyze complex security challenges posed by novel technologies.

Start Date:

Within 2 weeks

Duration: 6-12 months (renewable)

Commitment:
Part-time, 20-30 hours/week