AI & Emerging Tech Threat & Security Analyst

ixolabs.ai; Northern (KY); Hybrid; USD 96,000 - 165,000; Part time

Job summary

ixolabs.ai is seeking an AI / Emerging Tech Security Analyst to evaluate security implications of cutting-edge AI systems and technologies, ensuring safe deployment. The role focuses on ML model security, data provenance, and privacy-preserving techniques across cloud environments.

Ideal candidates have 5+ years in cybersecurity with 2+ years in AI/ML security, strong ML concept knowledge, and hands-on experience with AWS/Azure/GCP and Python ML libraries.

Qualifications

• Minimum 5 years 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 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 ML libraries (TensorFlow, PyTorch) for security analysis.

Responsibilities

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

Skills

Cybersecurity

AI/ML security

Cloud platforms

Tools

Python

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

ixolabs.ai is seeking an AI / Emerging Tech Security Analyst to evaluate security implications of cutting-edge AI systems and technologies, ensuring safe deployment. The role focuses on ML model security, data provenance, and privacy-preserving techniques across cloud environments.

Ideal candidates have 5+ years in cybersecurity with 2+ years in AI/ML security, strong ML concept knowledge, and hands-on experience with AWS/Azure/GCP and Python ML libraries.