AI/ML Security & Risk Consultant | 6 months Contract

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

• Job Reference: 155466
• Industry: Information and Communications Technology
• Consultant Registration Number: R1434374
• EA License Number: 02C3423

Overview

We are seeking an AI/ML Security & Risk Consultant to assess, design, and implement security controls across the end-to-end AI lifecycle. This role focuses on securing AI/ML platforms, agent-based systems, and cloud infrastructure while advising stakeholders on AI risk, governance, and regulatory compliance. You will work closely with AI engineers, data scientists, cloud teams, and security stakeholders to enable secure and responsible AI adoption.

Responsibilities

• Conduct comprehensive security assessments of AI/ML systems, including data pipelines, model training environments, inference endpoints, and Machine Learning Operations (MLOps) workflows.
• Identify and assess risks related to data privacy, data leakage, adversarial attacks, model poisoning, prompt injection, and misuse of AI technologies.
• Evaluate security threats across the full AI lifecycle, from data ingestion to model retirement, and define mitigation strategies.
• Design and implement AI governance frameworks, security controls, and policies aligned with responsible AI principles and regulatory requirements.
• Provide strategic roadmaps and executive-level recommendations for secure AI adoption.
• Design and assess secure cloud architectures for AI workloads across AWS, Azure, and Google Cloud Platform (GCP), covering Identity and Access Management (IAM), encryption, secrets management, container security, network segmentation, and data protection.
• Secure APIs, microservices, and application components supporting AI systems.
• Design and implement IAM models for AI agents, including agent identities, delegated permissions, ephemeral credentials, and zero-trust access controls.
• Collaborate with cross-functional teams and translate technical security risks into clear business impacts, assessment reports, and remediation plans for stakeholders.

Requirements

• Bachelor’s Degree in Computer Science, Information Security, Engineering, Data Science, or a related discipline.
• 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, including IAM, network security, encryption, secrets management, and API security.
• Solid understanding of AI-specific threats such as adversarial ML, data contamination, model theft, and prompt-based attacks.
• Experience with container platforms (Docker, Kubernetes) and MLOps tools such as SageMaker, Vertex AI, Azure ML, or MLflow.
• Excellent analytical, documentation, and communication skills, with the ability to present findings to both technical and executive audiences.

Good-to-have Qualifications

• Security or cloud certifications such as CISSP, CCSP, AWS/Azure/GCP Security Specialty, or AI governance credentials.
• Experience with responsible AI frameworks, AI policy, or AI regulatory compliance.
• Background in security engineering, threat modeling, or red teaming for AI systems.
• Prior experience in consulting environments or large enterprise security programs.

Location

Singapore

Recruiter

Jireli Gem Mejia Cabria

+65 6232 [e-mail]