The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle.
You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.
- Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
- Collaborate with stakeholder teams on building and productionizing machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
- Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
- Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
- Intuition around analytics and machine learning, and empathy for data science workflows.
- Previous experience building online machine learning systems.
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