scaffolding, and automated drift detection. Ensure all predictive outputs are governed, explainable, and linked to authoritative..., and ML validation frameworks to detect drift and ensure reliable performance over time. Collaborate with data stewards...
-based approach is followed when addressing discovered configuration drift Develop scripts to leverage in-scope application... stakeholders of configuration drift and required remediation activities Partner with engineers and key stakeholders to document...
engineering, model inference paths, and feedback loops. Familiarity with model governance, explainability, drift detection...
, review, and improve Define and track key metrics (coverage, policy efficacy, MTTD/MTTR, configuration drift). Run regular...
policies, configuration baselines, compliance drift management) across all regions. Plan refresh and lifecycle events...
tickets when ATO Automation platform detects compliance drift What you need to have Active TS/SCI with Poly...
schema drift, latency, volume anomalies, and data quality issues Develop and enforce best practices around data modeling...
, dataset curation, evaluation pipelines, drift monitoring, and regression testing for consistent model quality. Establish...
, review, and improve Define and track key metrics (coverage, policy efficacy, MTTD/MTTR, configuration drift). Run regular...
tied to data integrity, model drift, shadow AI deployments, and third-party AI services Proven track record securing...