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). Qualifications 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 TensorFlow, 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. #J-18808-Ljbffr Jobtailor