Teams at Guidehouse

Develop and maintain dashboards and visualizations, analyze multi-source data to identify trends and insights, respond to ad hoc reporting requests, present findings to stakeholders, support analytics process improvements, and collaborate with the Data Analytics Branch to deliver analytic products for a federal client.

Deploy, integrate, test, and operationalize AI prototypes in cloud-native environments (primarily Databricks). Coordinate with data engineering, validate model performance, ensure CI/CD, security compliance, and operational readiness while supporting documentation and stakeholder readiness.

Transform ML prototypes into secure, scalable production systems on Databricks and mission platforms. Build and maintain ML pipelines, CI/CD, monitoring, drift detection, logging, and observability. Harden workflows to federal cybersecurity standards, troubleshoot production issues across cloud and on‑prem, and collaborate with data scientists and stakeholders to sustain operational ML capabilities.