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Security Consultant - AI/ML
Position: AI SECURITY EXPERT
Salary rang e: up to ₱150,000 Philippine Peso (with the final offer subject to the client’s discretion based on the candidate’s experience)
Work set-up: 100% Remote work
Holidays : New Zealand Holidays
Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. The AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments—such as adversarial attacks and data poisoning—to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape.
Your focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas:
Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering.
Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning.
Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited.
Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks.
Strategic thinking with practical implementation ability
Ability to translate technical solutions for non-technical teams
Reduction in manual processes
Successful deployment of AI-powered workflows
Improved data-driven decision making
To excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency.
AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., Adversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction.
Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads.
Data Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning.
Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI).
A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field.
Professional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research.
Certifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.
