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AI Security Solutions Engineer

AI Security Solutions Engineer

China Mobile International LimitedHK
18 days ago
Job description

AI Security Solutions EngineerHeadquartersHKInformation Security ManagementApply

Responsibility

  • 1. AI Security Solution Design and Implementation
  • Research the general application of AI technologies in enterprise security scenarios (e.g., threat detection, anomaly behavior analysis, intelligent log auditing) and design AI security solutions that can be reused across industries.
  • Collaborate with network security and data security teams to integrate AI capabilities into enterprise-grade security platforms (such as SIEM, SOAR) to enhance threat response automation.
  • 2. AI Model Development and Optimization
  • Design and implement a secure and trustworthy AI model development framework, covering the entire process of data preprocessing, model training, deployment inference, and iterative optimization.
  • Build an AI model security assessment system, develop automated testing tools, and identify potential model risks (such as data poisoning, backdoor attacks).
  • Explore the application of federated learning, privacy computing, and other technologies in the compliant sharing of enterprise data to support cross-department / cross-organization collaboration scenarios.
  • 3. Security Compliance Collaboration
  • Collaborate with legal and compliance teams to design AI security frameworks compliant with global data privacy regulations like GDPR and CCPA, mitigating risks such as algorithmic bias and data misuse.

Requirements

  • Master's degree or above in Computer Science, Artificial Intelligence, or related fields, with over 3 years of experience in AI model development. Proficient in PyTorch / TensorFlow and MLOps toolchains.
  • Understand enterprise security fundamentals (such as zero trust architecture, IAM) and quickly grasp the technical needs of security teams.
  • Led or participated in cross-industry AI+security projects, such as deep learning-based malicious file detection and NLP-driven security policy automation.
  • Experience in enterprise-level system integration, familiar with REST API design, message queuing, and other cross-team collaboration technical solutions.
  • Excellent cross-functional collaboration skills; able to coordinate security, operations, and business departments to implement AI solutions.
  • Awareness of AI ethics and interpretability; capable of designing solutions that balance efficiency and transparency.
  • Holding AWS / Azure AI engineer certification or basic security credentials such as CISSP, CISM.
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    Engineer Engineer • HK

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