What You’ll Do
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Design, build, and integrate core components of Ramp’s Analytics and Machine Learning Platforms.
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Develop tools and infrastructure that enhance the productivity and data experience of Applied Scientists, AI Engineers, and Risk Engineers.
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Partner closely with cross-functional teams to build, deploy, and scale machine learning applications in production.
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Architect and maintain systems that are reliable, scalable, maintainable, and cost-efficient across the full stack.
What You’ll Bring
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Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
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Experience building and operating infrastructure on AWS, GCP, or Azure.
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Strong SQL skills and experience with data warehouses like Snowflake, Redshift, BigQuery, or similar.
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Solid intuition for analytics and machine learning workflows, with empathy for data science teams.
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Strong proficiency in Python and experience building production-grade systems.
Nice to Have
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Deep expertise with AWS.
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Experience building online or real-time machine learning systems.
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Familiarity with or experience building a feature store.
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Experience with Terraform and observability tools such as Datadog.
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Experience designing or operating streaming data systems.