Related skills
etl sql python machine learning scala๐ Description
- Design automated, reusable training pipelines for scalable model delivery
- Build ETL pipelines with feature engineering for reliable inputs
- Develop and deploy real-time ML pricing solutions to production
- Monitor latency, drift, and training-serving skew in production
- Run champion-challenger tests to surface pricing improvements
- Partner with data scientists, engineers, and product stakeholders
๐ฏ Requirements
- 5+ years in production ML or large-scale pricing platforms
- Proficiency in Python, Scala, and SQL for production ML
- Experience in data modelling, software architecture, and distributed data processing
- Deep understanding of ML algorithms for pricing or demand forecasting
- Strong analytical skills and attention to detail
- Product mindset focused on customer outcomes
- Clear, collaborative communication across teams
๐ Benefits
- Well-funded startup with competitive salary and pre-IPO equity
- Hopper covers private medical and dental premiums
- Private life and accident coverage
- Generous parental leave
- Unlimited PTO
- Remote work stipend and FlexDesk access
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