CASCOM ESD Enterprise Analytics/AI Program
Schedule:
Full-Time / 1.0 FTE Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA Clearance: Active Final Secret Required The Opportunity This role sits where data engineering, Azure integration, security, and production ML meet. The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models.
What You'll Do Design data-ingestion and system-integration architecture. Connect the analytics environment to authoritative Army systems. Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization. Develop REST API, service, database, file-based, and event-driven integrations. Support structured, semi-structured, and document-based data. Establish model-development and deployment environments.
Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring. Deploy models as endpoints, containers, batch jobs, or integrated services. Configure identity, secrets, logging, monitoring, alerting, and security controls. Diagnose data latency, data quality, pipeline, model-endpoint, and integration failures. Develop architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
Support Power BI and Power Apps data connections.
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