via automated ML Ops. Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow More ❯
via automated ML Ops. Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow More ❯
via automated ML Ops. Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow More ❯
via automated ML Ops. Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow More ❯
the globe. We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will work with a variety of technologies including Python, Py-Spark, Pandas, SQL and Azure DevOps. You will be responsible for modeling and implementing predictive maintenance solutions for our products, specifically focusing on jet engines. Responsibilities Collaborate with stakeholders to understand data More ❯
