and operationalise predictive and statistical models in Python where they create clear value, including evaluation plans and drift... of ground truths, running iterative validation cycles to improve quality, and drift monitoring. Workflow automation: Hands...
responses;track drift as AI models and ranking behaviors evolve. Cross-Functional Execution Partner with Oracle AI Database...
Hygiene: Monitor live campaign performance and operational health to identify risks like member over-contact or drift...
(evaluation, drift monitoring, reproducibility, lifecycle automation) to ensure reliability, safety, and high-quality outputs...
infrastructure for performance, reliability, and cost Establish observability (monitoring, logging/tracing, data quality, drift... with Databricks Establish observability (monitoring, logging/tracing, data quality, drift alerting) and track SLO's Familiarity...
strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging...
standards. Drive measurable cloud security posture improvements (baseline compliance, control coverage, drift detection... baselines and ensuring they remain enforced over time (e.g., Azure Policy, automation, drift detection). Working knowledge...
deployment. Implement robust monitoring, logging, and alerting systems for ML models, tracking performance, data drift...
, SOC 2, PCI DSS, or NIST frameworks. Programming: Python for tooling (API-driven config, drift detection, linting...
, and monitoring for use case drift so tools remain correctly configured, appropriately used, and centrally administered over time. The..., while identifying and correcting unintended use or configuration drift that introduces risk without proper oversight. This includes...