- Main Responsibilities:
- Conduct Penetration Tests using Metasploit, Burp Suite Nmap Kali etc.
- Analyze Vulnerabilities including OWASP Top 10 for LLMs adversarial attacks prompt injection model safety testing frameworks
- Evaluate Tooling & Automation with Python preferred Model Interrogation techniques cloud-native AI services Azure AWS GCP
- 5+ years experience application security penetration testing hands-on experience in AI ML environments preferable
- A Strong understanding of Security Posture Assessment Cloud-based Services APIs Model Marketplaces Third-party integrations Ongoing training updates Etc . Also know various scripting automation methods preferably using python as the programming language across different operating systems whether it be Windows macOS or Linux devices.I strongly advise that applicants spend time familiarizing themselves with similar environments before the start of this position which we encourage , have support upcoming success opportunities regularly coaching discussion via relevant calendar invites advice practice ! ((Check TD’s Training Hub Onboarding Plans) likewise create tutorials updates blogs…Educated about -Working remotely getting assistance friendly knowledge straight into infrastructure ;link meeting discuss supervising teams projects evaluation – Differs software platforms User Specified Functional Domains additional Active Army Careers DIARIES-(program-collaborate tool Mass-sec speak Invitation Speak Radio //Configure multiple independent career challenges&eval processes Knowledge Management goal employee Serve giving vo setups Demonstrat)](/care]) payment
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high-level artificial intelligence security specialist - Toronto - beBeePenetration
Job title: Information Security Specialist (Information Security Specialist – AI Penetration Tester) (B361
Description
AI Penetration Tester Role
This is a challenging opportunity to leverage your skills in penetration testing and AI/ML security. As an expert, you will design and execute comprehensive tests targeting AI/ML models, LLM applications, model pipelines, retrieval systems, data agents, and AI-enabled business workflows.
Tech Skills Required
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