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Applied Materials AI/ML Application Security Analyst 
United States, Texas, Austin 
91064768

Yesterday

Security Assessment and Implementation:

  • Conduct comprehensive security assessments of applications and AI/ML systems to identify vulnerabilities and implement robust security measures.

  • Develop and enforce security policies, standards, and procedures to protect against threats such as data breaches, DDoS attacks, and unauthorized data egress.

SSPM, ASPM, CSPM, and Zero Trust Security:

  • Implement and manage SaaS Security Posture Management (SSPM), Application Security Posture Management (ASPM), and Cloud Security Posture Management (CSPM) solutions to ensure continuous security compliance.

  • Design and enforce Zero Trust Security frameworks to ensure secure access to applications and data, minimizing the risk of unauthorized access.

Application Protection:

  • Utilize and manage advanced security technologies including web application firewalls (WAF), API security, DDoS protection, bot mitigation, runtime application self-protection (RASP), and data loss prevention (DLP) to safeguard applications.

  • Continuously monitor and respond to security incidents, performing root cause analysis and implementing corrective actions.

  • Leverage AI technologies to enhance the protection of applications, utilizing AI-driven threat detection and response mechanisms.

Data Egress Responsibility:

  • Secure and monitor data movements to prevent unauthorized data egress, ensuring the protection of sensitive information.

  • Collaborate with developers, DevOps, and data scientists to implement secure data handling practices and monitor data flows.

AI/ML Application Security:

  • Support the security of AI/ML applications, including integrating security practices into the MLOps pipeline and ensuring the secure deployment of large language models (LLMs).

  • Conduct risk assessments and implement mitigation strategies for AI/ML-related vulnerabilities, staying updated on the latest advancements and threats in AI/ML security.

Collaboration and Communication:

  • Work closely with cross-functional teams to integrate security practices into the application development lifecycle, fostering a culture of security awareness.

  • Provide security training and awareness programs for developers, DevOps, and other stakeholders to enhance the overall security posture of the organization.

Skills:

  • Strong knowledge of web application firewall (WAF), API security, DDoS protection, bot mitigation, runtime application self-protection (RASP), and data loss prevention (DLP) technologies.

  • Proficiency in programming languages such as Python, Java, or C++.

  • Excellent problem-solving and analytical skills.

  • Strong communication and teamwork abilities.

  • Certifications:
    • CISSP, CISM, CompTIA Security+, or equivalent.
    • Certifications in cloud security (e.g., AWS Certified Security Specialty, Azure Security Engineer Associate).
  • Additional Skills:
    • Experience with cloud platforms (AWS, Azure, Google Cloud).
    • Knowledge of regulatory compliance standards (e.g., GDPR, CCPA).
Bachelor's Degree (Required)


Skills:

AI Architecture, C++ (Inactive), Data Loss Protection, Java, Machine Learning, Python Software Development, Web Application Firewall (WAF)

4 - 7 Years

Full time

Assignee / Regular

$132,000.00 - $181,500.00