Herndon, Virginia
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22d ago
Job Summary (Senior MLOps / ML Infrastructure Engineer) - Design, build, and maintain scalable ML infrastructure and automated machine learning (ML) pipelines, with a strong focus on PySpark and Databricks. - Develop and implement Point-in-Time (PIT) feature engineering pipelines and feedback loops for continuous model improvement. - Manage end-to-end model monitoring systems to detect data drift, model drift, and data quality issues. - Oversee the full ML model lifecycle using MLflow (inc
Easy Apply
Contract
$65 - $70