AI/ML Application Security Analyst
Austin,TX
Full Time Entry-level / Junior USD 132K - 181K
Applied Materials
We work closely with our customers as strategic partners in ten countries across Europe. Facilitating progress through long-term relationships, and delivering the expertise, technology and services that bring their ideas and innovations to...Applied Materials’ IT organization has a long reputation of being a great place to work. The IT team has been recognized as one of Computerworld's 100 Best Places to Work in IT nine times. In addition, numerous Applied IT leaders have been honored as a CIO Magazine's Ones to Watch or Computerworld Premier 100 IT leaders.
Key Responsibilities
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).
Qualifications
Education:
Bachelor's Degree (Required)Skills:
AI Architecture, C++ (Inactive), Data Loss Protection, Java, Machine Learning, Python Software Development, Web Application Firewall (WAF)Certifications:
Languages:
Years of Experience:
4 - 7 YearsWork Experience:
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
NoU.S. Salary Range:
$132,000.00 - $181,500.00The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Tags: APIs Architecture AWS Azure DevOps GCP Google Cloud Java LLMs Machine Learning MLOps Python Security
Perks/benefits: Career development Equity / stock options Salary bonus
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