
DATA AND AI ENGINEER/SCIENTIST
Joint ActivitiesThis is a Direct Hire Authority (DHA) solicitation utilizing a DHA to recruit and appoint qualified candidates to positions in the competitive service. About the Position: Serves as a Senior Data Engineer for the US Africa Command (AFRICOM) Chief Digital and Artificial Intelligence Office (CDAO) supporting its mission of accelerating digital modernization and deployment of Artificial Intelligence/Machine Learning (Al/ML) to provide AFRICOM with decision advantage.Serve as a subject matter expert for the digital transformation effort and facilitate the adoption of new technologies.Provide detailed technical documentation for other data professionals and contracted staff through digital capture (e.g. JIRA, Slack, or similar) to maintain data pipelines created in support of key Command processes.Utilizes Agile development principles to segment complex dataflows/processes into manageable tasks that incrementally deliver value for the stakeholders and enable collaborative execution.Design and implement systems to acquire and standardize data from diverse sources, such as databases, Application Programming Interfaces (APIs), Internet of Things (IoT) devices, and external feeds.Manage the creation and enforcement of governance policies and ontological standards to ensure data is properly classified, stored, and accessible to AI routines.Develop and implement algorithms to automate repetitive tasks, such as data validation, anomaly detection, security checks, workflow metrics, and pipeline monitoring.Design systems with encryption, secure authentication, and monitoring to protect sensitive information from unauthorized access or breaches.
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles

Data Analyst
Gleeson Recruitment Group
Junior/Mid AI Legal Specialist (Full Remote - Netherlands)
EverAI

Data Analyst - Oil & Gas
CGI
Machine Learning Research Intern - Summer 2027
IMC
Design & Tech
Related reads from TCHNX

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.

Algorithmic Bias in Design Systems: Why Your AI-Generated UI Might Exclude Users
As AI tools increasingly generate interface components, they're embedding biases that systematically exclude users. Understanding how machine learning models inherit prejudice is essential for creating truly inclusive design systems.