✨ About The Role
- This role focuses on building platforms that support the data science development lifecycle.
- The candidate will collaborate with applied scientists, AI engineers, and Risk engineers to build infrastructure and tools for machine learning models.
- Responsibilities include building and integrating components of Ramp's Analytics and Machine Learning Platforms.
- The role involves creating tools that enhance the agility and data experience for Ramp's technical teams.
- The candidate will be tasked with building reliable, scalable, maintainable, and cost-efficient systems across the stack.
âš¡ Requirements
- The ideal candidate will have extensive experience with workflow orchestrators such as Airflow, Dagster, or Prefect.
- A strong background in building infrastructure on cloud platforms like AWS, GCP, or Azure is essential.
- Proficiency in SQL and familiarity with databases like Snowflake, Redshift, or BigQuery is required.
- The candidate should possess a solid understanding of analytics and machine learning, with empathy for data science workflows.
- Strong programming skills in Python are necessary for this role.