engineers and software developers to integrate ML models into production systems. Monitor model performance, detect data drift...-specific models (accuracy, drift, data/ops burden, latency, and cost). Proficiency with Python and common LLM/RAG libraries...
). Understanding of model versioning, drift detection, and automated retraining strategies. Contributions to open-source projects...
and observability tools (e.g., Application Insights, Azure Monitor). Understanding of model versioning, drift detection, and automated...
dashboards and alerting for data quality, latency, and model drift. Collaborate with researchers to translate hypotheses...
, 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...