Security Engineer

Client of Involved Solutions; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading company is seeking a Security Engineer specializing in AI/ML to enhance its infrastructure security. The role involves designing security controls, mitigating risks specific to ML, and collaborating with engineering teams. Ideal candidates will have over 5 years of experience in security engineering and familiarity with ML systems.

Qualifications

• 5+ years of experience in security engineering, ideally with exposure to ML systems.
• Strong knowledge of threat modeling and secure coding.
• Familiarity with ML frameworks and cloud infrastructure.

Responsibilities

• Designing and implementing security controls tailored to AI/ML workflows.
• Identifying and mitigating ML-specific risks.
• Developing tooling and automation for secure deployment.

Skills

Threat modeling

Secure coding

Cloud infrastructure security

Scripting

Software development

Tools

AWS

GCP

Azure

PyTorch

TensorFlow

Spark

Airflow

Job description

About the role:
You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.

Key responsibilities include:

• Designing and implementing security controls tailored to AI/ML workflows
• Identifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)
• Working closely with engineering and data science teams to embed security into model lifecycles
• Developing tooling and automation for secure deployment and continuous monitoring
• Staying current on the evolving threat landscape in AI and contributing to internal knowledge sharing

About you:

• 5+ years of experience in security engineering, ideally with exposure to ML systems
• Strong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)
• Proficiency in scripting or software development (Python preferred)
• Bonus: Experience in areas like LLM security, model interpretability, or data governance

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