What are the responsibilities and job description for the Senior AI Security Engineer - need NY/NJ locals position at InfoPeople Corp?
Job Details
- 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.
- Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence.
- 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.
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 AI algorithms and models
- Ability to ensure the quality, consistency and relevance of data used for training and testing AI models (includes collecting, preprocessing and validating data)
- Ability to assess AI 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 AI/ML solutions, including capabilities that leverage LLM technology
- Highly flexible/willing to learn new technologies
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.
