Kaygen Inc.
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in high-volume contingent staffing, direct hire staffing, and project-based solutions for companies worldwide, ranging from startups to Fortune 500 firms and Managed Service Providers (MSPs) across various industries.
Job Description
Our Client's Technology team is seeking a highly motivated AI Security Engineer. This role is ideal for someone with a strong cybersecurity background and a passion for artificial intelligence. You will be responsible for securing AI/ML systems and infrastructure, identifying and mitigating risks in AI models, data pipelines, and AI-powered applications to ensure the integrity, confidentiality, and availability of systems. Responsibilities
Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines. Identify and mitigate threats such as model inversion, data poisoning, adversarial attacks, and prompt injection. Collaborate with data scientists, ML engineers, and DevOps teams to integrate security throughout the AI/ML lifecycle. Conduct threat modeling and risk assessments for AI systems and algorithms. Monitor AI systems for anomalies and potential misuse. Secure APIs and endpoints used for model access and inference. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) in AI workflows. Develop and enforce AI security policies, standards, and best practices. Stay updated on emerging threats and research in AI/ML security. Requirements
Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Machine Learning, or related field. 3+ years of cybersecurity experience, with at least 1 year focused on AI/ML systems. Strong understanding of machine learning workflows, model architectures, and data pipelines. Familiarity with AI-specific threats such as adversarial ML, model extraction, and data leakage. Experience with Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of secure software development practices and DevSecOps principles. Experience with securing LLMs and generative AI systems is a plus. Familiarity with AI governance, model explainability, and ethical AI principles. Hands-on experience with tools like IBM Adversarial Robustness Toolbox, Microsoft Counterfit, or similar. Certifications such as CAISS, GMSE, CISSP, OSCP, or CEH with AI/ML experience are advantageous. Join Us
At KAYGEN, we value dynamic, talented, and experienced individuals. We offer a team-oriented culture grounded in respect, honesty, and integrity. Our staffing experts will assist you in finding the best opportunities across the globe. For more information, visit us at
www.kaygen.com . Benefits
Healthcare Insurance Vision and Dental Insurance 401(k) Retirement Plan Free Life Insurance Vacation and Sick Time Off Family Medical Leave (FMLA) Achieve your Kaizen by joining our unique talent community, which includes programs like certifications, mentorship, referrals, family and wellness benefits, and ongoing career development.
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Our Client's Technology team is seeking a highly motivated AI Security Engineer. This role is ideal for someone with a strong cybersecurity background and a passion for artificial intelligence. You will be responsible for securing AI/ML systems and infrastructure, identifying and mitigating risks in AI models, data pipelines, and AI-powered applications to ensure the integrity, confidentiality, and availability of systems. Responsibilities
Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines. Identify and mitigate threats such as model inversion, data poisoning, adversarial attacks, and prompt injection. Collaborate with data scientists, ML engineers, and DevOps teams to integrate security throughout the AI/ML lifecycle. Conduct threat modeling and risk assessments for AI systems and algorithms. Monitor AI systems for anomalies and potential misuse. Secure APIs and endpoints used for model access and inference. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) in AI workflows. Develop and enforce AI security policies, standards, and best practices. Stay updated on emerging threats and research in AI/ML security. Requirements
Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Machine Learning, or related field. 3+ years of cybersecurity experience, with at least 1 year focused on AI/ML systems. Strong understanding of machine learning workflows, model architectures, and data pipelines. Familiarity with AI-specific threats such as adversarial ML, model extraction, and data leakage. Experience with Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of secure software development practices and DevSecOps principles. Experience with securing LLMs and generative AI systems is a plus. Familiarity with AI governance, model explainability, and ethical AI principles. Hands-on experience with tools like IBM Adversarial Robustness Toolbox, Microsoft Counterfit, or similar. Certifications such as CAISS, GMSE, CISSP, OSCP, or CEH with AI/ML experience are advantageous. Join Us
At KAYGEN, we value dynamic, talented, and experienced individuals. We offer a team-oriented culture grounded in respect, honesty, and integrity. Our staffing experts will assist you in finding the best opportunities across the globe. For more information, visit us at
www.kaygen.com . Benefits
Healthcare Insurance Vision and Dental Insurance 401(k) Retirement Plan Free Life Insurance Vacation and Sick Time Off Family Medical Leave (FMLA) Achieve your Kaizen by joining our unique talent community, which includes programs like certifications, mentorship, referrals, family and wellness benefits, and ongoing career development.
#J-18808-Ljbffr