Machine Learning Engineer

Key responsibilities:
Support and monitor weekend batch loads, ensuring timely and accurate execution
Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies
Translate findings into clear insights and communicate them effectively to leads and stakeholders
Monitor scheduled jobs and data pipelines to ensure successful execution
Validate dashboard outputs and analyze data trends, anomalies, and inconsistencies
Support basic model validation and output analysis (e.g., forecast vs actuals, error trends)
Write and optimize SQL queries and PySpark transformations for debugging and analysis
Identify patterns in recurring failures and recommend improvements
Work with data science and engineering teams to debug model or data-related issues
Escalate issues when required, with clear analysis and supporting insights
Monitor workflows in Azure Data Factory (ADF) and Databricks
Contribute to CI/CD validation and rele...