and observability tools (e.g., Application Insights, Azure Monitor). Understanding of model versioning, drift detection, and automated...
, Notebooks) for ingestion and ELT, leveraging Key Vault for secrets management. Implement schema drift handling, incremental...
updates and application releases. Monitor latency, cost, and model drift with MLflow, Weights & Biases, or custom dashboards... endpoints. Reduction in manual workflows replaced by AI features. Model performance tracked and stable (accuracy, drift, false...
. Implement sophisticated monitoring for our production models to track performance, detect data/concept drift, and measure...
through governance, enablement, and automation;implement controls and exception reporting that prevent drift. Evaluate...
Spark, Ray, or Dask. Operationalize model tracking, versioning, and drift detection using DVC, model registries, and ML...
Product including costsavings Evaluate & Restore Hand-Over Profession ENG milestone to anticipate drift Pilot points...
/MLOps Engineer starts the day by reviewing model performance metrics and identifying any drift in production models. A team... performance, model accuracy, and drift;establish alerting, rollback, and retraining strategies. Apply software engineering...
, and model drift. Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance...
to transition research into production-ready strategies. Monitor live performance, attribution, and model drift, ensuring continual...