Senior AI Security Engineer

MANDATORY SKILLS/EXPERIENCE

Note: Candidates who do not have the mandatory skills will not be considered.

• Bachelor's degree in computer science, electrical or computer engineering, statistics, econometrics, or related field, or equivalent work experience
• 12+ years of hands-on experience in cybersecurity or information security.
• 4+ years of experience programming with demonstrated advanced skills with Python and the standard ML stack (TensorFlow/Torch, NumPy, Pandas, etc.)
• 4+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) desired
• 4+ years of experience working in cloud environment (Azure, AWS, Google Cloud Platform)
• Demonstrated proficiency with AI/ML fundamental concepts and technologies including ML, deep learning, NLP, and computer vision.
• Demonstrated ability (expertise preferred) in attacking GenAI products and platforms.
• Demonstrated recent experience with large language models.
• Demonstrated experience with using AI testing frameworks and tools such as TensorFlow or PyTorch, or Keras
• Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks listed above.
• Demonstrated ability to Identify and document defects, irregularities or inconsistencies in AI systems and working closely with developers to rectify and resolve them.
• Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems.
• Excellent written and verbal communication skills to articulate challenging technical concepts to both Client and expert audiences.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

MANDATORY SKILLS/EXPERIENCE

Note: Candidates who do not have the mandatory skills will not be considered.

• Bachelor's degree in computer science, electrical or computer engineering, statistics, econometrics, or related field, or equivalent work experience
• 12+ years of hands-on experience in cybersecurity or information security.
• 4+ years of experience programming with demonstrated advanced skills with Python and the standard ML stack (TensorFlow/Torch, NumPy, Pandas, etc.)
• 4+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) desired
• 4+ years of experience working in cloud environment (Azure, AWS, Google Cloud Platform)
• Demonstrated proficiency with AI/ML fundamental concepts and technologies including ML, deep learning, NLP, and computer vision.
• Demonstrated ability (expertise preferred) in attacking GenAI products and platforms.
• Demonstrated recent experience with large language models.
• Demonstrated experience with using AI testing frameworks and tools such as TensorFlow or PyTorch, or Keras
• Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks listed above.
• Demonstrated ability to Identify and document defects, irregularities or inconsistencies in AI systems and working closely with developers to rectify and resolve them.
• Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems.
• Excellent written and verbal communication skills to articulate challenging technical concepts to both Client and expert audiences.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.