Senior AI Modeling Specialist

Responsibilities

• Serve as the lead AI/ML technical expert supporting data‑driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
• Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
• Develop and operationalize AI‑enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
• Build and maintain scalable model pipelines and architectures supporting cross‑domain and enterprise‑level data integration.
• Apply AI/ML techniques such as predictive modeling, clustering, natural language processing, and network analysis to identify patterns, trends, narratives, and adversary behaviors in the information environment.
• Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
• Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision‑makers.
• Develop and support AI‑enabled dashboards, decision‑support tools, and analytic platforms that provide real‑time or near‑real‑time insights.
• Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
• Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI‑informed outputs).

• Must have an active Top‑Secret security clearance and be SCI eligible.
• Bachelor’s degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies).
• Demonstrated experience developing and deploying AI/ML models in operational or mission‑focused environments.
• Strong proficiency in Python (or similar), including AI/ML libraries such as Tensor Flow, PyTorch, and scikit‑learn.
• Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets.
• Experience developing and managing data pipelines, model pipelines, and cloud‑based architectures (AWS, Azure, or equivalent).
• Experience integrating multi‑source data (structured, semi‑structured, unstructured) into analytic models.
• Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets.
• Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision‑makers.
• Experience supporting data‑driven decision support, operational analysis, or mission‑focused analytics environments.