integration, retraining, and drift detection. Transition R&D prototypes into production, optimizing for mission constraints...
tools for auditing, scanning, and evaluating AI models (e.g., for toxicity, drift, hallucinations). Implement model... architectures and AI model evaluation (bias, fairness, interpretability, drift, hallucinations). Experience with audit, evidence...
schema drift, latency, volume anomalies, and data quality issues Develop and enforce best practices around data modeling...
, review, and improve Define and track key metrics (coverage, policy efficacy, MTTD/MTTR, configuration drift). Run regular...
lifecycle management, feature pipelines, CI/CD for ML, observability, drift detection, and retraining strategies;partner... platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI), CI/CD for ML, model registries, monitoring and drift detection;design...
-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...
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...
across the organization to drive teamwork and response on Security misconfigurations, Drift from established hardening standards... compliance scanning. Continuously monitor and assess systems for configuration drift, unauthorized changes, or deviations...
, dataset curation, evaluation pipelines, drift monitoring, and regression testing for consistent model quality. Establish...
data drift, and managing AI-related logging. This role will involve building scalable infrastructure and dashboards..., Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. Data Drift Detection...