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Develop advanced data science solutions for Intelligence Community missions, including scalable data pipelines, automation workflows, data models, visualizations, dashboards, and production-quality Python applications. Transform complex intelligence datasets into actionable insights, collaborate with analysts and mission stakeholders, manage multiple technical initiatives, and provide technical leadership. The role also supports geospatial and multi-INT analysis, modernization efforts, and potentially machine learning, cloud platforms, and DevSecOps practices.

Develop and support mission-critical software, ranging from scripts to multithreaded client-server systems. Responsibilities include software design, implementation, testing, deployment, network protocol reverse engineering, and complex data and network analysis. The role requires strong CNO development, TCP/IP knowledge, multithreaded programming, and active TS/SCI clearance, with preferred expertise in operating systems, CPU architectures, reverse engineering, vulnerability research, and exploit development.

Develop and maintain Retrieval-Augmented Generation pipelines, LLM integrations, REST APIs, and self-hosted LLM deployments. Conduct LLM alignment red teaming, independently research emerging AI/ML methods, and develop advanced AI applications. The role requires strong Python and AI/ML framework expertise, with preferred experience in model evaluation, fine-tuning, inference optimization, vector databases, AWS, Docker, and scalable data architectures.

Lead delivery of a government commercial RF analytics program across contractual due-outs, data-provider integrations, teaming partners, acceptance criteria, and cure processes. Serve as the primary government interface while managing cost, schedule, subcontracts, risks, data rights, classified delivery, technical integration, quality control, and order growth. The role requires hands-on oversight of APIs, schema mapping, geolocation reconciliation, cloud delivery, human-in-the-loop production, and government contract performance.

Owns delivery of a U.S. government data platform program supporting intelligence analysis across multiple security domains. Responsibilities include managing cost, schedule, staffing, risks, dependencies, contract deliverables, scope changes, and program cadence. The role serves as the primary interface with government program and engineering teams, coordinates technical and cross-domain integrations, supports accreditation timelines, and contributes to change proposals and new work capture. Active TS/SCI clearance and extensive DoD software, data, or IT program management experience are required.

Manages and secures network, firewall, VPN, endpoint, and VDI environments. Responsibilities include administering Palo Alto and Cisco infrastructure, implementing segmentation and Zero Trust controls, enforcing endpoint policies, managing Windows and Linux systems, and designing VMware Horizon VDI on Cisco HyperFlex. The role also develops automation scripts, maintains golden images, implements GPU virtualization, conducts security assessments, and supports secure, scalable infrastructure for a national security customer.

Develops advanced data science solutions for Intelligence Community missions, including scalable data pipelines, automation, data modeling, statistical analysis, visualizations, dashboards, and production-quality Python applications. Transforms complex intelligence datasets into actionable insights, modernizes analytic workflows, supports operational decision-making, and collaborates with analysts, engineers, and mission stakeholders. The role also provides technical leadership, manages concurrent initiatives, and may apply geospatial analytics, machine learning, cloud platforms, and distributed computing.

Infrastructure Engineer responsible for secure over-the-air software deployments to globally fielded systems in degraded or disconnected environments. Manages Docker, Kubernetes, Linux systems, enterprise networking, virtualization, firewalls, monitoring, backups, and disaster recovery. Automates deployment and administration using Bash, Python, and configuration-management tools, troubleshoots across network and system layers, and remotely monitors deployed software to improve fleet availability and reduce field-service travel.

Designs, develops, evaluates, and deploys machine learning models for sensor-data event detection, classification, and characterization in classified national-security environments. Builds end-to-end ML pipelines, integrates capabilities into operational software, evaluates failure modes, collaborates with scientists and analysts, and mentors junior developers. The role requires production-quality Python, deep knowledge of modern ML architectures, technical documentation, and active Top Secret clearance with eligibility for SCI and CI Polygraph.

Manages accounts receivable for government contracts, including invoice processing, payment collection and allocation, account reconciliation, aging analysis, forecasting, credit control, financial reporting, and resolving customer payment inquiries. Maintains accurate transaction records and ensures compliance with applicable policies, regulations, and collection practices.