Cybersecurity Engineer - With AI/ML/NLP

Overview

Hybrid
$90 - $95
Contract - W2
Contract - Independent
Contract - 12 Month(s)
75% Travel

Skills

AI
ML
GEN AI
NLP
LLM
Cybersecurity

Job Details

Cybersecurity Engineer - With AI Exp

Hybrid with 3 days in Office and 2 days remote:

Location: 2 MetroTech Center, Brooklyn, NY 11201

The needed resource skill set is specialized in working with software development teams to ensure the security and responsible use of AI applications by providing guidance at various stages of planning and implementing security design, processes, and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners.

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 lay and expert audiences.

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

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.