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About This RoleAI processing…
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential
Key Responsibilities
- 1Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
- 2Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
- 3Collaborate with stakeholder teams on building and productionizing machine learning applications.
- 4Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
Requirements
- Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
- Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
- Intuition around analytics and machine learning, and empathy for data science workflows.
- Strong Python programming skills.
Perks & Benefits
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