Responsibilities
- Create scalable and repeatable training workflows to support consistent model deployment across multiple partner platforms
- Construct ETL systems with deliberate feature development to ensure high-quality, dependable data for pricing algorithms
- Implement machine learning pricing models into production environments, managing end-to-end deployment processes
- Track live system performance for issues like delay, model drift, and discrepancies between training and serving data, making ongoing improvements
- Conduct A/B testing on pricing strategies and product configurations to identify enhancements and adapt to market dynamics
- Collaborate with data science, engineering, and product teams to convert business requirements into clearly defined technical implementations
Work Arrangement
Hybrid
Other
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