Senior Data/ML Engineer — Databricks Forecasting Platform | Remote
Description
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Senior Data/ML Engineer to refactor, operationalize, and improve an existing time series forecasting platform that's already live and driving real business value. This is not a greenfield build — the focus is modernizing a Databricks-based forecasting system that's been maintained primarily by a single developer for years. You'll reduce technical debt, strengthen testing and observability, and raise the engineering bar on a system the business already depends on. If you'd rather bring discipline and maturity to an existing production system than start from a blank slate, this is built for that. What You'll Do Review the current forecasting platform architecture and identify areas for improvement Refactor existing Databricks, Python, and PySpark implementations Move business logic out of Databricks notebooks and into reusable Python modules or packages Improve separation of concerns between orchestration and core business logic Establish stronger engineering standards and help define what "good" looks like for the platform Implement or improve automated testing practices and validation mechanisms for forecasting workflows Build or improve monitoring and observability, increasing visibility into how predictions are generated Help monitor model behavior and operational health over time Improve reliability of scheduled training workflows, reducing manual intervention on failu --- Source: weworkremotely - Toptal
