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Develops and deploys machine learning models and data solutions using Python, R, and SQL. Responsibilities include data cleansing, statistical analysis, visualization, dashboard and web application development, system integration, and applying supervised and unsupervised learning to structured and unstructured data. The role involves advising clients, guiding teammates, developing algorithms, and working with data-rich environments. A TS/SCI clearance with polygraph and bachelor's degree are required.

Design and build resilient data pipelines integrating files, APIs, services, databases, and mission sources. Develop extraction, normalization, enrichment, validation, cataloging, routing, ingestion, and event-driven workflows. Preserve geospatial metadata, provenance, lineage, security attributes, and data quality. Apply AI, RAG, MCP, and agentic capabilities to improve data discovery and access. Build Node.js applications and Oracle Database integrations while collaborating with engineering, cloud, security, AI, and mission teams.

Designs, deploys, secures, and operates Oracle Cloud Infrastructure identity solutions in regulated government environments. Integrates cloud applications with enterprise IAM platforms, implementing federation, SSO, MFA, lifecycle management, RBAC, ABAC, and least-privilege access. Troubleshoots identity protocols and authentication flows, applies Zero Trust principles, supports RMF and authorization activities, develops security evidence and procedures, and coordinates with government, security, and technical stakeholders.

Creates video, animation, motion graphics, audio, interactive training, and other multimedia content for government and military clients. Responsibilities span concept development, storyboarding, video and audio capture, editing, animation, eLearning development, and final delivery. The role translates technical procedures and instructional information into engaging visual experiences while collaborating with instructional designers, subject matter experts, clients, and creative teams. Managing multiple assignments, meeting deadlines, and supporting the full production lifecycle are central to the position.

Leads data science initiatives by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Develops predictive models and algorithms, translates complex datasets into actionable insights, advises clients, and guides teammates. Requires Python, SQL, statistical programming, TS/SCI clearance, DoD 8140 Level II certification, and up to 25% travel. Intelligence and geospatial analytics experience are preferred.

Leads the design, development, deployment, and sustainment of production AI agents and AI-enabled applications. Defines agent architectures, integrates enterprise and geospatial data with LLMs using RAG and MCP, and guides Node.js and Oracle Database application development. Provides hands-on technical leadership, mentors developers, reviews engineering work, establishes practices, and coordinates delivery across mission, data, cloud, security, database, and customer stakeholders.

Installs, configures, maintains, secures, and upgrades RHEL and Windows systems across physical, virtual, and cloud environments. Applies patches, conducts cybersecurity compliance scans, manages system performance, and supports RMF compliance. Develops documentation, troubleshooting guides, and configuration procedures; communicates technical risks and solutions to clients; analyzes network metrics; and helps modernize mission-critical infrastructure. The role also provides technical leadership and requires collaboration across systems administration, cybersecurity, virtualization, containerization, and cloud environments.

Develop, train, evaluate, deploy, and maintain computer vision and machine learning models for warfighter performance and visual defect or anomaly detection. Translate operational needs into maintainable ML solutions, design validation strategies, optimize model thresholds, and integrate inference into software systems. Collaborate with data engineers, data scientists, architects, subject matter experts, and product owners while communicating technical findings and tradeoffs.

Designs and implements cybersecurity engineering solutions, secure configurations, risk mitigation activities, and cyber-hardening measures across enterprise or mission systems. Supports RMF, ATO processes, STIG compliance, vulnerability management, continuous monitoring, secure architecture reviews, and POA&M development. Uses scripting and enterprise cybersecurity tools to automate configuration, remediation, and compliance validation. The role also requires mentoring team members and working independently in support of DoW cybersecurity requirements.

Lead data science efforts for federal customers: analyze large structured and unstructured datasets, build predictive models and ML algorithms, automate analytic workflows, mentor teammates, brief military leaders, translate technical requirements for non-technical stakeholders, and support deployments and CONUS/international travel as needed.