Data/ML Engineer

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 integrates with the storage system for output archival.

Required:

·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 parqu...