位于北京市, c22的 10 个优质system design architecture职位（正在招聘！）

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Mercedes-Benz Group AG —北京市
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Crypto.com —北京市
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Mercedes-Benz Group AG —北京市
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Mercedes-Benz Group AG —北京市
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Renesas Electronics —北京市
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Head of AI (Tech Focused)
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5+ years of software engineering or AI application development experience. This role is hands-on and deeply technical, focused on designing and shipping AI-…
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AI Security

Mercedes-Benz Group AG -
北京市

立即申请

职位详情

完整职位描述

Tätigkeitsbereich:IT/Telekommunikation

Fachabteilung:Cyber Security

Gesellschaft:Mercedes-Benz Group China Ltd.

Standort:Mercedes-Benz Group China Ltd., Beijing

Startdatum:sofort

Veröffentlichungsdatum:12.06.2026

Stellennummer:MER0003S4Y

Arbeitszeit:Vollzeit

Aufgaben

Objective of job

Lead the security strategy for Mercedes-Benz's AI initiatives, ensuring the protection of AI systems and data assets from evolving threats and vulnerabilities. Champion the integration of robust security practices throughout the AI lifecycle, fostering a culture of security awareness and responsible AI development across the organization and ensure Mercedes-Benz's AI deployments adhere to the highest standards of security, privacy, and ethical conduct, mitigating risks and maintaining customer trust..

Ensure the security and integrity of Mercedes-Benz's AI systems and data.
Identify, assess, and mitigate security risks associated with AI technologies.
Protect AI models from adversarial attacks, data breaches, and other threats.
Ensure compliance with relevant security, privacy, and ethical guidelines for AI.
Embed security into the AI development lifecycle.
Promote a security-conscious culture within AI teams.

Job designation

Security Architecture and Design
Design and implement robust security frameworks and architectures for AI and machine learning systems, including cloud-based AI environments.
Develop and maintain security standards, procedures, and protocols specific to AI systems.
Provide security guidance and expertise to AI development teams throughout the development lifecycle.
Risk Assessment and Threat Mitigation
Conduct risk assessments and vulnerability analyses of AI components, infrastructure, and data pipelines.
Develop and execute strategies to mitigate potential threats, including adversarial attacks, data poisoning, model theft, and prompt injection.
Monitor AI systems and networks for potential security threats and anomalies, using AI-driven security tools where appropriate.
Security Implementation and Testing
Integrate security measures into the CI/CD pipeline for AI systems.
Implement access controls, data encryption, and other security mechanisms to protect AI models and data.
Perform regular security audits, penetration testing, and vulnerability scanning of AI systems
Compliance and Governance
Ensure AI systems comply with relevant regulations, standards, and frameworks.
Develop and maintain documentation on security architectures, procedures, and protocols in terms of AI
Collaborate with data privacy teams to ensure compliance with data privacy regulations.
Establish clear policies and procedures for AI use, data handling, and security
Incident Response
Participate in security incident response activities related to AI systems.
Investigate security breaches and implement measures to prevent future occurrences.
Training and Awareness
Design and lead security awareness training programs for AI development teams.
Promote a security-conscious culture within the AI teams.

Qualifikationen

Qualification

Technical Skills and Knowledge:
Strong understanding of security principles, frameworks, and technologies.
Knowledge of AI security risks and mitigation techniques, such as adversarial attacks, data poisoning, and model theft.
Experience with security tools and technologies, such as vulnerability scanners, penetration testing tools, and intrusion detection systems.
Programming skills in languages such as Python, Java, or C++.
Familiarity with AI compliance standards and frameworks.
Proficiency in security frameworks and various compliance standards like ISO 27001, SOC, NIST, etc.
Relevant certifications, CISSP, Certified AI Security Professional (CAISP), AI Security & Governance Certification or Other relevant cybersecurity or AI certifications.
Proven experience in cybersecurity, with a focus on AI security.
Experience with AI and machine learning technologies, including model development, deployment, and security.
Education: Bachelor's degree and above in Computer Science encompassing Information Security, machine learning

Benefits

Mitarbeiter Events

Flexible Arbeitszeit möglich

Hybrides Arbeiten möglich

Gesundheitsmaßnahmen

Mobilitätsangebote

Mitarbeiterrabatte möglich

Parkplatz

Betriebsarzt

Gute Anbindung

Barrierefreiheit

Kantine, Café

KontaktMercedes-Benz Group China Ltd.

Wang Jing Int. R&D Park Phase III, 6 Wangjing East Road100102 BeijingDetails zum Standort

Recruitment China E-Mail: [email protected]

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在北京市, c22的system design architecture个职位

AI Security

Head of AI (Tech Focused)

Senior DevOps Engineer (Exchange /Trading Platforms)

HV Battery Thermal Expert

Senior Product Engineer Electrical

Section Lead, Autonomous Driving Toolchain & Platform

Sr Application Engineer- Automotive MCU

Staff Product Application Engineer

Staff Engineer, Product Applications

Senior Engineer, Product Applications

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