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Responsibilities:
- Architect, implement, and maintain production-grade, low-latency ML services for ranking, recommendation, and forecasting use cases
- Collaborate with data scientists, product managers, and engineers to identify the best technical approaches to product and infrastructure challenges
- Design and support experimentation frameworks to test hypotheses and measure improvements to models
Requirements:
- 5+ years of total professional experience, operating at a senior engineering level
- 3+ years of hands-on experience in Machine Learning, including taking models from experimentation to production
- 3+ years of experience with Python, writing production-quality, maintainable code
Nice to Have:
- 1+ year of experience with Snowflake, or strong experience with modern cloud data warehouses
- 1+ year of experience with dbt, or hands-on experience building and maintaining analytical data models
Smart Working
Smart Working connects skilled professionals with global teams and products for full-time, long-term roles. They are one of the highest-rated workplaces on Glassdoor and value integrity, excellence, and ambition for their employees' personal and professional growth.