About the Role
Reston only
Hybrid, 3 days onsite, 2 days offsite
Max Rate is ***/hr to Client, unless your Rate Card is set below that, in which case you must adhere to your Rate Card***
Overview
We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive model lifecycle quality, governance alignment, and engineering excellence.
Responsibilities
" Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms.
" Implement MLflow for parameters, metrics, artifact management, and end to end lineage.
" Build and maintain scalable data pipelines for training, validation, and inference processes.
" Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks.
" Package models for deployment and support model...
Hybrid, 3 days onsite, 2 days offsite
Max Rate is ***/hr to Client, unless your Rate Card is set below that, in which case you must adhere to your Rate Card***
Overview
We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive model lifecycle quality, governance alignment, and engineering excellence.
Responsibilities
" Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms.
" Implement MLflow for parameters, metrics, artifact management, and end to end lineage.
" Build and maintain scalable data pipelines for training, validation, and inference processes.
" Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks.
" Package models for deployment and support model...
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