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Develop analytics from cyber and SIGINT data, using Java and big data technologies. Collaborate with customers to create prototypes and improve data representation.

Develop, maintain, and enhance diverse software systems. Oversee software teams, conduct reviews, ensure quality, and design algorithms according to requirements.

Responsible for Quality Assurance in training material and developing lesson plans, ensuring compliance and effectiveness in instructional delivery.

Serve as principal AI technical advisor to translate emerging AI capabilities into workforce development and mission-focused training. Collaborate with researchers and engineers to define skills, build curriculum, create labs and use cases, support demonstrations and workshops, evaluate technologies, and guide AI governance, MLOps, LLMs, agentic AI, and cybersecurity integration for national security missions.

Lead design, development, and deployment of production-grade AI systems for mission-critical cyber and intelligence operations. Architect scalable MLOps pipelines, deploy models to cloud, on‑prem, and edge, integrate AI into cybersecurity workflows, ensure secure and RMF-compliant deployments, mentor engineers, and transition prototypes into operational systems.

Develop and integrate cyber planning strategies, conduct research for data sources, and lead meetings to support operational campaigns against adversaries.

The Cryptanalytic Computer Scientist 3 is responsible for designing, developing, and evaluating mathematical models and methods to solve complex problems in computer science, requiring significant relevant experience and educational qualifications.

This role involves analyzing user requirements, debugging software, leading teams, designing software and databases, and implementing complex algorithms while ensuring adherence to quality standards.

Design and apply advanced analytic methods to large, structured and unstructured datasets; build ML and NLP solutions, deploy data science tooling in HPC/cloud environments, and deliver insights to customers while working on-site at Tech Port San Antonio.

The Data Scientist Level 3 will analyze large datasets, develop strategies for data extraction, and communicate findings. Required experience includes machine learning and programming.