Transform Toptal’s time series forecasting platform as a Senior Data/ML Engineer, working remotely. Refactor existing systems to enhance functionality and business impact. This senior-level position focuses on improving an established Databricks-based forecasting platform that plays a critical role in the business.

You will leverage your solid Python and PySpark experience to modernize the technology and refine operational workflows. Your contributions will lower technical debt and ensure higher standards for software quality, testing, and observability. Key Responsibilities:

- Analyze forecasting platform architecture for key enhancements
- Refactor and improve Databricks and Python components
- Extract business logic into reusable Python modules




- Improve orchestration and core logic separation
- Establish and implement rigorous engineering standards Requirements:
- Significant experience with Databricks functionalities
- Advanced Python engineering with a focus on reuse
- Proficient in PySpark and distributed data processing
- Proven ability to refactor and improve production code
- Knowledge of automated testing and operational visibility improvements Help shape Toptal's forecasting platform by enhancing its reliability, maintainability, and operational performance.

📌 Data/ML Engineer for Forecasting System (Toronto)
🏢 Neura Market
📍 Toronto