Overview
Remote
$60 - $65
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
CCSK
CEH
AI Security
AI/ML Security
ML Security
Zenity
HiddenLayer
LLMs
Generative Models
Generative AI
NIST
ISO
Adversarial
prompt injection
data poisoning
model drift
model explainability
bias mitigation
model validation
LLM abuse
model protection
model misuse
AI Posture
AI Misuse
model abuse
Generative Artificial Intelligence (AI)
Cyber Security
Data Security
Privacy
Microsoft Azure
Regulatory Compliance
Risk Management
Threat Modeling
Job Details
Job Summary:
o Our client is seeking a AI Security Analyst to join its Product Security team. This role focuses on securing AI/ML systems, including Traditional ML, Generative AI, and Agentic AI, by implementing AI-specific security controls, guardrails, and risk management practices in collaboration with Data & AI and Product teams.
Responsibilities:
o Embed security controls into AI/ML models, pipelines, and applications across the SDLC.
o Conduct security reviews of LLMs, generative models, and data pipelines.
o Support AI security policies, standards, and controls aligned with NIST, ISO, and emerging regulations.
o Implement AI-specific risk controls (e.g., model validation, bias mitigation, explainability).
o Partner with Legal, Compliance, and Privacy teams on AI regulatory requirements.
o Evaluate and support AI security tooling for observability, model scanning, and data protection.
o Promote secure AI development practices across agile teams.
Required Qualifications:
o Bachelor s degree in Computer Science, Information Security, or related field.
o 2+ years of cybersecurity experience with exposure to AI/ML technologies.
o Understanding of AI/ML concepts (training, inference, data labeling, adversarial attacks).
o Knowledge of AI risks (prompt injection, data poisoning, model misuse).
o Experience with secure coding, threat modeling, cloud-native environments.
o Strong analytical and communication skills in agile environments
Preferred:
o Certifications (e.g., CCSK, CEH, AI security credentials).
o Experience with Microsoft AI security tools (Defender, Purview, Azure AI Content Safety).
o Hands-on exposure to AI security tools (e.g., Zenity, HiddenLayer).
o Scripting/automation and AI or ML governance experience a plus.
o Our client is seeking a AI Security Analyst to join its Product Security team. This role focuses on securing AI/ML systems, including Traditional ML, Generative AI, and Agentic AI, by implementing AI-specific security controls, guardrails, and risk management practices in collaboration with Data & AI and Product teams.
Responsibilities:
o Embed security controls into AI/ML models, pipelines, and applications across the SDLC.
o Conduct security reviews of LLMs, generative models, and data pipelines.
o Support AI security policies, standards, and controls aligned with NIST, ISO, and emerging regulations.
o Implement AI-specific risk controls (e.g., model validation, bias mitigation, explainability).
o Partner with Legal, Compliance, and Privacy teams on AI regulatory requirements.
o Evaluate and support AI security tooling for observability, model scanning, and data protection.
o Promote secure AI development practices across agile teams.
Required Qualifications:
o Bachelor s degree in Computer Science, Information Security, or related field.
o 2+ years of cybersecurity experience with exposure to AI/ML technologies.
o Understanding of AI/ML concepts (training, inference, data labeling, adversarial attacks).
o Knowledge of AI risks (prompt injection, data poisoning, model misuse).
o Experience with secure coding, threat modeling, cloud-native environments.
o Strong analytical and communication skills in agile environments
Preferred:
o Certifications (e.g., CCSK, CEH, AI security credentials).
o Experience with Microsoft AI security tools (Defender, Purview, Azure AI Content Safety).
o Hands-on exposure to AI security tools (e.g., Zenity, HiddenLayer).
o Scripting/automation and AI or ML governance experience a plus.
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