About The Position

The Artificial Intelligence/Machine Learning (AI/ML) Engineer provides engineering support to deliver secure, low-risk technical solutions and effective program execution, including the integration of intelligent automation, AI, and machine learning. Responsibilities include developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and machine learning capabilities. The engineer leads programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments. Additionally, the engineer develops and oversees programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.

Requirements

  • Ability to obtain and maintain a DoD security clearance (Secret or TS/SCI depending on role)
  • Strong background directly aligned with the technical or analytical specialty area
  • Strong analytical, communication, and writing skills
  • Bachelor’s degree in computer science/engineering or related discipline
  • Minimum 5 years of related experience.
  • Proficiency in complete software development lifecycle.
  • 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
  • Experience applying AI/ML research to develop AI/ML solutions
  • Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
  • Good oral and written communication skills, interpersonal skills, including ability to adapt and work effectively in a variety of configurations independently, as a member of a team, and in a matrix reporting environment.
  • Ability to prioritize tasks, show considerable initiative, resolve conflicts and handle complaints.

Nice To Haves

  • Advanced degrees (MS/PhD) are preferred for some roles
  • Experience supporting DoW, interagency, or national security missions is highly desirable
  • Experience within the National Air and Space Intelligence Center (NASIC) community.

Responsibilities

  • Developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and machine learning capabilities.
  • Leading programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments.
  • Developing and overseeing programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.
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