Machine Learning Engineer
Core
Monitor and debug machine learning pipelines, data workflows, and model outputs to ensure accuracy and timely execution.
Role type
Machine Learning Engineer (Operations & Debugging)
Builds
Data pipelines, batch jobs, and model inference workflows
Domain
Data Engineering / Machine Learning Operations
Deliverable
production ML models
Required skills
SQL, PySpark, Python, data pipeline debugging, root cause analysis, CI/CD validation, Azure Data Factory, Databricks
Preferred skills
None stated
Technologies
Azure Data Factory, Databricks, Azure DevOps, PySpark, SQL
Responsibilities
Monitor weekend batch loads and scheduled jobs; perform outlier detection and root cause analysis; validate dashboard outputs and model results; write and optimize SQL/PySpark queries; debug model or data-related issues; contribute to CI/CD validation; maintain documentation for issues and fixes.
Seniority
Mid-Senior (4-10 years experience)
