AI-Driven VM_Cloud Security_GenAI_AI/ML

Roles & Responsibilities:

• Programming and scripting expertise, especially in Python, and preferably experience in other languages like C, C++, Java, or JavaScript.
• Deep understanding of AI/ML concepts, model training pipelines, and AI attack surface areas including fairness, bias, and anomaly detection.
• Knowledge of security testing standards and frameworks such as OWASP (including OWASP LLM Top 10), MITRE ATLAS, NIST AI security guidelines.
• Proficiency with common penetration testing tools like Kali Linux, Burpsuite, Nmap, Nessus, and familiarity with AI-focused frameworks such as Clever Hans, ART, Fool box or similar.
• Proficient in emerging AI security threats and offensive security techniques, including real-world adversarial tactics and prompt injection methods.
• Familiarity with cloud platforms (AWS, Azure, GCP) and cloud security.
• Design clear, actionable technical reports and presentations targeting both technical and business stakeholders.
• Lead red teaming operations with a focus on AI system security, simulating attacks to evaluate defenses.
• Tool Expertise: Rocket Software, IBM X-Force Red, NetSPI, Secragon, REXX, Standard Pen test suite (Kali Linux, Burpsuite, Nessus, Metasploit).
• Soft skills:
• Strong at client communications, Stakeholder management.
• Experience in managing remote teams of 3+ and ability to prepare dashboards and report status and issues with Client directly.
• Strong analytical and problem-solving skills, with the ability to think critically and identify creative solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams
• Preferred Certifications:
• OSCP, GPEN, GWAPT, CEH, or AI security-focused credentials.