, and automated drift detection. Instrument platforms with telemetry to track reliability, performance, security posture, and user...
drift across multi-component systems. What You Will Need to Succeed Advanced degree in a quantitative discipline...
, and automated drift detection. Instrument platforms with telemetry to track reliability, performance, security posture, and user...
, aggregate and explore data, build and validate predictive models, deploy models with drift monitoring and retraining. Utilize...
policies, configuration baselines, compliance drift management) across all regions. Plan refresh and lifecycle events...
and telemetry around usage, performance, drift, cost, and incident metrics. Define and apply governance, compliance, and “human...
: Apply decision trees, random forests, and gradient boosting to recommend evidence-based root causes. Compliance Drift & Model... Monitoring: Establish continuous monitoring for deployed models to detect input data drift, label shift, performance decay...
dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values... or events. Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs...
drift detection, model retraining Computer Vision: Vision Transformers (ViT), Grad-CAM, explainability techniques Data...
comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling...