Must Have Technical/Functional Skills
7-10 hands-on experience Python with expertise in pandas NumPy scikit-learn matplotlib and seaborn.
Strong understanding of ML evaluation metrics across classification and regression use cases.
Experience with Databricks Notebooks and PySpark for handling large model outputs in parquet format.
Experience in working with PDF generation libraries.
Knowledge of MLFLow model registries or production ML monitoring platforms.
Roles & Responsibilities
Build and maintain reusable Python functions for calculating stand model performance metrics develop and maintain the logic for generating executive summaries and recommendations.
Design and implement a modular framework to generate monitoring reports in PDFs or dashboard formats.
Standardize templates for model reporting including visualizations commentary sections and KPI thresholds.
Build automation scripts using orchestration to schedule monitoring runs at regular intervals and integrate with the storage system for output archival.
Must Have Technical/Functional Skills 7-10 hands-on experience Python with expertise in pandas NumPy scikit-learn matplotlib and seaborn. Strong understanding of ML evaluation metrics across classification and regression use cases. Experience with Databricks Notebooks and PySpark for han...
Must Have Technical/Functional Skills
7-10 hands-on experience Python with expertise in pandas NumPy scikit-learn matplotlib and seaborn.
Strong understanding of ML evaluation metrics across classification and regression use cases.
Experience with Databricks Notebooks and PySpark for handling large model outputs in parquet format.
Experience in working with PDF generation libraries.
Knowledge of MLFLow model registries or production ML monitoring platforms.
Roles & Responsibilities
Build and maintain reusable Python functions for calculating stand model performance metrics develop and maintain the logic for generating executive summaries and recommendations.
Design and implement a modular framework to generate monitoring reports in PDFs or dashboard formats.
Standardize templates for model reporting including visualizations commentary sections and KPI thresholds.
Build automation scripts using orchestration to schedule monitoring runs at regular intervals and integrate with the storage system for output archival.
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