AI Security Expert
D
D2BWorkforce and asset management
Workable locations: Manila, Metro Manila, Philippines. New Delhi, India, AU/NZ business hoursFull-TimeSenior
SalaryUp to ₱150,000 Philippine Peso
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Job Details
- Experience
- 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research.
- Required Skills
- AWSDockerCybersecurityGCPKubernetesPyTorchAzureTensorflow
Requirements
- Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures.
- Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction.
- Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads.
- Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning.
- 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.
- 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research.
- Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.
Responsibilities
- Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering.
- Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning.
- Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property.
- Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited.
- Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks.
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