AI Security Expert

D2B; New Delhi; On-site; INR 140,000 - 233,000; Full time

Job summary

D2B is seeking an AI Security Expert to secure AI lifecycles across training and deployment. You will design pipelines, defend against adversarial attacks, protect data privacy, and model governance while aligning with global security standards.

This role requires deep knowledge of ML security, cloud security, and secure ML pipelines. Remote work from anywhere, with AU/NZ business hours overlap; strong collaboration with cross-functional teams and stakeholders is essential to drive robust,

Qualifications

• Education and background in CS/Cybersecurity/Data Science.
• 5+ years in Cybersecurity with 2+ years in AI/ML security.
• Certifications like CISSP, CISM, or AI security certs are valued.

Responsibilities

• Pipeline security for model training and deployment.
• Adversarial defense and threat modeling.
• Protect data privacy and IP; enforce governance and compliance.

Skills

Process thinking

Analytical skills

Stakeholder comms

Strategic thinking

Tech translation

Education

Bachelor's or Master's in CS

Cybersecurity/Data Science background

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Cloud ML services

Job description

Position: AI SECURITY EXPERT Salary range: 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 governance frameworks.

Qualifications & Technical Skills

• Process thinking and systems design
• Problem solving and analytical skills
• Strong stakeholder communication
• Strategic thinking with practical implementation ability
• Ability to translate technical solutions for non-technical teams

Outcomes / Success Measures

Success in this role will be measured by:

• Reduction in manual processes?
• Increased operational efficiency?
• Successful deployment of AI-powered workflows?
• Improved data-driven decision making
• Scalable automation infrastructure

Requirements Required

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., PyTorch, TensorFlow) and the underlying mathematics of model architectures.
• 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).

Education

• Education: 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.