About the role

AI Engineer The AI Engineer will design, develop, and deploy scalable machine learning and AI-driven analytics capabilities. Responsibilities include multi-source data fusion, entity resolution and behavioral modeling, predictive and prescriptive intelligence analytics, and autonomous detection and alerting pipelines. You will operate across the full lifecycle from data ingestion to model deployment to operational feedback loops.
Core responsibilities include: AI/ML engineering and model development, data engineering and pipeline integration, operational deployment (MLOps/DevSecOps), explainability and analyst integration, and collaboration and mission alignment. Required qualifications include active TS/SCI clearance, a bachelor's or master's in computer science, AI, data science, engineering, or related field, and 3–10+ years of experience in AI/ML engineering or applied data science. Technical expertise includes strong proficiency in Python, data frameworks, graph analytics, network analysis, anomaly detection, behavioral modeling, entity resolution, Kubernetes, Docker, microservices architectures, REST APIs, and distributed systems.

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JOB OVERVIEW

Experience level

Lead

Location

Denver, CO

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

2 days ago

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