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Perform document-level declassification reviews of DoD records per EO 13526 and Joint Staff/NARA guidance, prepare and index records (SF-715/box summaries), run E-Discovery searches, manage IRCN notifications, archive actions into the Joint Staff repository, and prepare boxes for accessioning to NARA while maintaining high quality standards.

Design, develop, and maintain scalable database systems; create and optimize complex SQL, stored procedures, and functions; ensure data integrity, security, and performance; collaborate with developers and analysts; perform maintenance and troubleshooting; document designs and follow best practices.

Work on-site with a DHS client to design, develop, train, fine-tune, and deploy AI/ML and generative AI solutions (including LLMs and NLP). Build user-facing AI applications (chatbots, virtual assistants), optimize model performance and scalability, implement MLOps/DevSecOps pipelines, conduct research (prompt engineering, RAGs, fine-tuning), ensure data privacy/security, and brief stakeholders on technical tradeoffs.

Design, build, and maintain secure automated CI/CD and GitOps pipelines (GitLab, Harness, ArgoCD) for Kubernetes and cloud environments. Integrate security automation, compliance checks, monitoring, and IaC (Terraform) while collaborating with dev teams to remediate vulnerabilities, provision infrastructure, migrate apps to cloud, and ensure resiliency and performance.

Develop and maintain cloud-based applications using Angular 14 and Spring Boot microservices, support legacy JEE/WebSphere applications, implement SOAP/REST web services, work in Agile teams to gather requirements, present designs, and document solutions per government lifecycle methodology.

Develop, train, fine-tune, and deploy AI/ML models (including LLMs and generative AI). Build user-facing AI applications (chatbots, virtual assistants), optimize model performance, run experiments (prompt engineering, RAGs, fine-tuning), integrate solutions with systems, ensure data privacy/security, and brief stakeholders. Support big-data approaches and collaborate across teams.

Design and implement ML, LLM/Gen-AI, vision and NLP models; build scalable predictive and optimization solutions; analyze large datasets to generate insights; create interactive visualizations and dashboards; collaborate with stakeholders and distributed teams; apply AWS analytics services and ML frameworks; communicate technical findings to non-technical audiences.

Lead design and implementation of scalable workflows to transform large geospatial/intelligence data into mission-ready analytic products. Script in Python, produce operational visualizations, provide senior-level direction and QA, and collaborate across NGA and IC to support intelligence operations.

Lead design, implementation, integration, and maintenance of enterprise IT systems; translate requirements into secure architectures; produce engineering artifacts; support DevSecOps, cloud, Agile/SAFe adoption; mentor teams; evaluate technologies and manage technical risks.

Lead end-to-end data science work: exploratory and statistical analysis, data engineering, ML model development (recommendation engines, predictive systems), data visualization (Power BI, Tableau), and multi-int large-data analytics to support defense programs and produce actionable intelligence products.