Top Tech Jobs & Startup Jobs

Design and build interactive dashboards and UIs using tools like Qlik Sense, Tableau, or Power BI. Clean, wrangle, and analyze data from warehouses and big-data sources. Define reporting objects, metrics, filters, and visual best practices to deliver actionable insights for DoD clients. Work requires Secret clearance and a bachelor’s degree.

Build and productionize autonomous, goal-oriented multi-agent AI systems. Design agent architectures, implement MCP/A2A orchestration, develop RAG pipelines with knowledge graphs, fine-tune SLMs for edge (ONNX/GGML/Ollama), and create evaluation frameworks for reliability, safety, and human-in-the-loop workflows.

Design, train, test, deploy, and maintain ML models (including generative and agentic AI) for DoD missions. Collaborate with engineers, scientists, and product owners to implement solutions, handle data and model development, and advise clients on ML strategy.

Design, build, and maintain scalable ETL/ELT pipelines and data platforms; parse and process structured and unstructured data; support operations and maintenance for secure information systems; lead cross-functional teams; develop scripts to convert data formats; scale, monitor, and operate data platforms for analytics and reporting.

Design and implement low-code/no-code solutions using Microsoft Power Platform and Palantir Foundry to automate workflows, build applications, and create dashboards. Collaborate with stakeholders to translate requirements into deployable solutions supporting Army modernization efforts. Requires Secret clearance and expertise in data visualization, relational data, and workflow automation.

Lead development of AI/ML research concepts and government proposals, engage program officers, drive capture and proposal efforts, and transition awards into program leadership overseeing technical execution, milestones, and evaluation. Produce technical storytelling, publications, and presentations to shape high‑risk, high‑reward defense research programs.

Partner with business leaders to document and deliver company-wide reporting. Maintain and enhance dashboards and data models, build and automate Databricks pipelines/notebooks, ensure data quality, and collaborate with data scientists and engineers to produce actionable enterprise insights.

Design and run statistical and mathematical analyses on diverse data sources to inform leadership decisions. Build datasets, implement repeatable analysis, create documentation and visualizations, recommend system enhancements, and develop performance metrics to assess analytics maturity.

Develop and implement computer vision algorithms to extract, track, and analyze imagery features; build production-ready systems using containerization and APIs; create and test modules to meet specifications; participate in design and code reviews; collaborate with cross-functional teams; support deployment in cloud/microservices environments and use DevOps/CI practices as required. Active TS/SCI clearance and STEM degree required.

Apply machine learning and AI to structured and unstructured IoT and other datasets: clean and integrate data, develop and deploy user-facing models, create visualizations/dashboards or lightweight web apps, advise clients, lead teammates, and apply inferential statistics and research design. Requires TS/SCI with polygraph.