Cybersecurity Engineering-AI/ML Assessment

Tasks

• Collaborate on secure AI practices
• Conduct proof-of-concept evaluations
• Conduct threat and vulnerability assessments
• Implement cybersecurity systems and policies
• Monitor and review cyber threats
• Perform penetration testing
• Perform root cause analysis
• Protect networks from unauthorized access
• Provide reporting and remediation support
• Provide threat hunting automation scripts
• Research and evaluate cyber threats
• Respond to cybersecurity breaches

Perks/Benefits

• Certification opportunities
• Coaching
• Employee wellbeing programs
• Hybrid work

Skills/Tech-stack

AI Practices | AI Risk | AI Risk Tracking | AI Security | AI/ML | AI/ML Pipeline | AI/ML Pipeline Security | Adversarial inputs | Automation Scripting | Breach response | Cause analysis | Cloud Security | Cloud Security Posture | Cloud Security Posture Management | Data Breach | Data breach response | Data leakage | Leakage detection | ML pipeline security | Malware analysis | Model poisoning | Penetration Testing | Phishing Detection | Pipeline Security | Posture Management | Privacy Protection | Privacy leakage | Privacy leakage detection | Ransomware defense | Risk tracking | Robustness Testing | Root Cause Analysis | Root cause | Secure AI | Secure AI practices | Security Reporting | Security controls | Security posture management | Threat hunting | Vulnerability Assessment