Top Tech Jobs & Startup Jobs

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.

Use data exploration, cleaning, modeling, and visualization to turn structured and unstructured data into actionable insights. Develop predictive models and algorithms, work with clients to define questions, and apply ML/AI/NLP techniques to solve problems. Collaborate across teams and support data-driven decision making.

Lead full‑stack engineer who designs and delivers end‑to‑end software systems, oversees a development team, ensures sound architecture and Linux deployment, and meets strict security and clearance requirements.

Design, develop, and maintain Oracle EPM/EPBCS planning applications across the full lifecycle. Gather requirements, build rules and Essbase calculations, implement data sourcing and integrations, enable Oracle EPM AI capabilities (predictive forecasting, anomaly detection), and provide training, documentation, and user support. Ensure testing, governance, security controls, and performance monitoring while troubleshooting issues and recommending AI-driven automation to improve forecasting and reduce manual work.

Design, train, test, deploy, and maintain AI/ML models for national security customers. Prototype user-facing AI solutions, evaluate and tune outputs (prompts, retrieval logic, heuristics), build/demo APIs or rapid UIs, and collaborate with data engineers, data scientists, MLOps, and stakeholders to deliver production-ready AI capabilities.

Design, integrate, and productionize AI capabilities (LLMs, agents, RAG, KGs, fine-tuned SLMs) into distributed systems. Build agent orchestration, optimize inference, implement evaluation/monitoring, collaborate cross-functionally, and ensure secure, reliable CI/CD deployments for mission environments.

Design, develop, and modernize ground‑system and real‑time software for space missions. Build and support secure DevSecOps pipelines, containers, and cloud integrations to improve performance, resilience, and operational speed for GEOINT and space operations.

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, and collaborate with clients to deliver actionable insights. Work often involves intelligence-domain data and requires active TS/SCI clearance.

Design and lead data lake architecture and Databricks platform solutions for DoW projects. Develop and optimize ETL/Delta Lake pipelines, integrate AI/ML workflows, implement DevSecOps/CI-CD, ensure cloud security and compliance across AWS/Azure/GCP, and liaise between clients and developers to deliver solutions.

Lead data science efforts to manage metadata, research question tracking, tagging/classification, and data discoverability. Integrate research products into dashboards, guide teammates, develop algorithms and systems, and apply Databricks Unity Catalog, OpenLineage, and ESRI metadata APIs while adhering to IC tradecraft.