: Model versioning Continuous training & testing Drift detection Automated retraining triggers Governance...
and post launch warranty. Additional responsibilities include: managing and analyzing lead/drift/pull vehicle performance...
strategies for AI systems, monitoring for model drift and performance degradation, and scalable inference architecture. Meet... that you anticipate challenges unique to AI systems—such as data quality issues, model drift, ethical concerns, or scalability bottlenecks...
, and rollback. Model and data drift monitoring, performance tracking, and scheduled retraining. Controls for bias...
, security configuration management, and drift detection. The ideal candidate will have deep expertise in storage security... management. Experience with drift detection tools and methodologies. Deep understanding of file storage technologies (NAS, SAN...
). Working knowledge of Spark or similar large-scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift...
workflows Monitoring and observability for ML systems Model drift detection and data quality monitoring Custom metrics...
drift) that fail fast and auto-open incidents with context. Build promotion workflows (dev → staging → prod) with automated...
Action portfolio maintenance trades: Monitor daily cashflow ladders across currencies and any portfolio drift;communicate...
mechanisms to manage model drift, accuracy, latency, cost, and user experience. Run experiments and evaluations to improve model...