Data/ML Engineer

Role: Data/ML Engineer

Location: Remote

Fulltime position

Job Description:

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.