AI/ML Security & Risk Consultant — Secure AI Lifecycle

Manpower; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A recruitment agency is seeking an AI/ML Security & Risk Consultant in Singapore. The role involves assessing, designing, and implementing security controls for AI/ML platforms and advising on governance and compliance. Candidates should have a Bachelor’s Degree and 3–8+ years in cybersecurity with expertise in cloud security and AI threats. This position requires collaboration with technical teams and the ability to communicate findings to stakeholders.

Qualifications

• 3–8+ years of experience in cybersecurity, cloud security, or data security roles.
• Hands-on experience securing AI/ML platforms, pipelines, models, or agent-based systems.
• Excellent knowledge of cloud security across AWS, Azure, and/or GCP.
• Solid understanding of AI-specific threats such as adversarial ML and data contamination.
• Excellent analytical, documentation, and communication skills.

Responsibilities

• Conduct comprehensive security assessments of AI/ML systems.
• Identify and assess risks related to data privacy and misuse of AI technologies.
• Evaluate security threats across the full AI lifecycle.
• Design and implement AI governance frameworks and security controls.
• Provide strategic roadmaps for secure AI adoption.

Skills

Cybersecurity

Cloud security

Data privacy

Risk assessment

Communication skills

Education

Bachelor’s Degree in Computer Science, Information Security, Engineering, Data Science

Tools

AWS

Azure

Google Cloud Platform (GCP)

Docker

Kubernetes

SageMaker

Vertex AI

Azure ML

MLflow

Job description

A recruitment agency is seeking an AI/ML Security & Risk Consultant in Singapore. The role involves assessing, designing, and implementing security controls for AI/ML platforms and advising on governance and compliance. Candidates should have a Bachelor’s Degree and 3–8+ years in cybersecurity with expertise in cloud security and AI threats. This position requires collaboration with technical teams and the ability to communicate findings to stakeholders.