Hi,

Role: AI/ML Application Security Analyst

Location: Toronto ON Onsite

The opportunity:

· 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.

· Implement and manage SaaS Security Posture Management (SSPM) solutions using existing CASB 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.

· Utilize and manage advanced security technologies including web application firewalls (WAF), API security, DDoS protection, bot mitigation, 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.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

· Education:

· Bachelor s or Master s degree in Computer Science, Cybersecurity, Data Science, or a related field.

· Experience:

· 7+ years of experience in application security, cybersecurity, or a related field.

· Proven experience with SSPM, ASPM, CSPM, and Zero Trust Security frameworks.

· Familiarity with AI/ML security, including MLSecOps, GenAI and LLMs.

· 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.

· Preferred Qualifications:

· Certifications:

· CISSP, CISM, CompTIA Security+, CAITI, 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).

· Experience/knowledge of GenAI security monitoring tools

· Knowledge of regulatory compliance standards (e.g., GDPR, CCPA)

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AI/ML Application Security Engineer