Related skills
etl sql python scala mlπ Description
- Design and implement automated training pipelines for scalable model delivery
- Build ETL pipelines with feature engineering for pricing inputs
- Develop and deploy real-time ML pricing solutions to production
- Monitor latency, drift, and skew; optimize model integrity
- Run champion-challenger tests on pricing and product levers
- Collaborate with DS, Eng, and product teams to translate needs
π― Requirements
- 5+ years in production ML or large-scale pricing platforms
- Proficiency in Python, Scala, SQL for production ML systems
- Experience in data modelling, software architecture, distributed processing
- Deep understanding of ML algorithms for pricing or demand forecasting
- Strong analytical instincts with a track record of catching issues pre-production
- Product mindset focused on customer outcomes
π Benefits
- Competitive salary with pre-IPO equity
- Unlimited PTO
- Carrot Cash travel stipend
- FlexDesk access plus WFH stipend
- Generous parental leave
- 100% employer-paid Medical, Dental and Vision
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