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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
Roles and Responsibilities
- Build and maintain reusable Python modules for ML model performance evaluation and monitoring.
- Develop logic for generating executive summaries, insights, and recommendation outputs for model monitoring reports.
- Design and implement modular frameworks for automated report generation in PDF and dashboard formats.
- Standardize model monitoring templates including visualizations, commentary, KPI thresholds, and performance metrics.
- Develop automation and orchestration workflows to schedule recurring monitoring runs and archive outputs.
- Process and analyze large-scale model outputs using Databricks, PySpark, and parquet datasets.
- Collaborate with data scientists, ML engineers, and business stakeholders to enhance model governance and monitoring capabilities.