Senior Al 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 Al/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 Al 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 Al 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 lay and expert audiences.

• Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence.

DESIRABLE SKILLS/EXPERIENCE:

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Background in designing and implementing security mitigations and protections and/or publications in the space
• Ability to work collaboratively in an interdisciplinary team environment
• Participated or currently participating in CTF/GRT/AI Red Teaming events and/or bug bounties developing or contributing to OSS projects.
• Understanding of ML lifecycle and MLOps.
• Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the Al algorithms and models
• Ability to ensure the quality, consistency and relevance of data used for training and testing Al models (includes collecting, preprocessing and validating data)
• Ability to assess Al systems for ethical considerations and potential biases to make sure they follow ethical standards and encourage inclusivity and diversity
• Ability work in and provide technical leadership to cross-functional teams to develop and implement Al/ML solutions, including capabilities that leverage LLM technology
• Highly flexible/willing to learn new technologies