Employment Information
Key Responsibilities:
- Implement security measures to safeguard AI models, algorithms, and datasets.
- Monitor AI systems for adversarial attacks, anomalies, and potential vulnerabilities.
- Conduct threat modeling, vulnerability assessments, and penetration testing specific to AI environments.
- Ensure compliance with AI-related security standards, privacy regulations, and ethical guidelines.
- Collaborate with cross-functional teams to integrate security into AI system design.
- Research emerging AI threats and develop strategies to mitigate risks.
- Develop incident response plans tailored to AI and machine learning systems.
Qualifications:
- Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, or a related field.
- Strong knowledge of AI/ML concepts, algorithms, and data processing workflows.
- Experience in security frameworks, penetration testing, and risk assessment.
- Familiarity with adversarial machine learning, model poisoning, and data integrity threats.
- Proficiency in programming languages such as Python, Java, or C++.
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience with AI security tools and platforms.
- Knowledge of cloud security for AI workloads (AWS, Azure, GCP).
- Understanding of cryptographic techniques for AI data protection.
Skills
Cloud Security (e.g., AWS, Azure)
Cryptography & Data Encryption
Cybersecurity Compliance (e.g., ISO 27001, NIST)
Digital Forensics
Security Information and Event Management (SIEM)
Threat Intelligence & Analysis
Vulnerability Assessment