Senior AI & Cloud Cybersecurity Specialist
Posted 15 days ago · 0 applicants
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The role in plain words
- 6 years of experience in cybersecurity
- 2 years of experience working with Machine Learning or Deep Learning models
- Proficiency in Python
- Experience working with PyTorch, TensorFlow, or Scikit-learn
- Familiarity with MLOps and LLM architectures
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceWe are hiring a Senior AI & Cloud Cybersecurity Specialist for a government organization located in central Israel.
Responsibilities:
• Work with AI systems and cloud environments
• Lead the organization's AI security domain
• Perform penetration testing for AI models and define secure usage policies for Generative AI (GenAI) tools
• Develop and implement AI solutions for cybersecurity, automate SOC processes, work with Machine Learning models and LLMs, secure AI applications, identify advanced threats, and lead innovative solutions in cloud environments
• Collaborate with technology teams to implement advanced AI security solutions across the organization
Requirements:
• 6 years of experience in cybersecurity, including at least 2 years of experience working with Machine Learning or Deep Learning models
• Proficiency in Python and experience working with PyTorch, TensorFlow, or Scikit-learn, along with familiarity with MLOps and LLM architectures
• Experience securing AI systems, including protection against Prompt Injection, Model Inversion, Data Poisoning, and Evasion Attacks
• Experience developing or implementing AI solutions for anomaly detection, UEBA, and real-time attack detection, with familiarity with the OWASP Top 10 for LLMs
• Experience working with AWS SageMaker, Azure AI Services, or Google Vertex AI, and at least 2 years of experience leading technology teams
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 6 years of experience in cybersecurity, 2 years of experience working with Machine Learning or Deep Learning models, Proficiency in Python, Experience working with PyTorch, TensorFlow, or Scikit-learn, Familiarity with MLOps and LLM architectures