D2B
workforce and asset management
AISecurityExpert
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Security Expert at D2B. Skills: AI Security, Cybersecurity, Machine Learning, Adversarial AI, Data Protection, Cloud Security. end-to-end security of our AI lifecycle. Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering”
What You'll Achieve.
Reduction in manual processes; Increased operational efficiency; Successful deployment of AI-powered workflows; Improved data-driven decision making; Scalable automation infrastructure
Industry & Context.
Problem solving; analytical skills
What They're Looking For.
Must Have
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), 5+ years of experience in Cybersecurity, at least 2 years specifically focused on AI/ML security or research
Nice to Have
CISSP, CISM, specialized AI certifications (e.g., Certified AI Security Professional)
What You'll Do.
end-to-end security of our AI lifecycle
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
Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property
Threat Modeling & Red Teaming: 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.
and emerging AI governance frameworks
How You'll Work.
Team & Collaboration
stakeholder communication; Ability to translate technical solutions for non-technical teams
Communication Scope
stakeholder communication; Ability to translate technical solutions for non-technical teams
Full Job Description
**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) **Working Hours:** AU/NZ business hours **Work set-up:** 100% Remote work **Holidays** : New Zealand Holidays **COMPANY OVERVIEW** Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces—such as construction, healthcare, and logistics—by streamlining complex scheduling, compliance, and safety workflows through intelligent automation. **OVERVIEW ON THE ROLE** 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. ### **Core Responsibilities** 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. * **Intellectual Property & Privacy: **Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property. * **Threat Modeling & Red Teaming:** 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 gov
Applying for this AI Security Expert role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about D2B?
Real rants from real employees. Read before you apply.