, 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...
, monitoring (drift), y CI/CD para modelos. Keras, Tensorflow, Modelos generativo LLM - GenAI/LLMs/SLM : Conocimiento profundo...
. The manual management of our servers leads to configuration drift, inconsistencies, and a high risk of human error. It...
/roles for configuration management, patching, and drift remediation. Linux & Infrastructure Perform Linux...
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...
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...
in a relatively new category: conversational recruitment marketing (“Drift for recruitmentâ€). Mountain climber. Growing the revenue...
and observability tools (e.g., Application Insights, Azure Monitor). Understanding of model versioning, drift detection, and automated...
). Understanding of model versioning, drift detection, and automated retraining strategies. Contributions to open-source projects...