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Machine Learning Infrastructure Engineer
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Full-time
- We are seeking an experienced Machine Learning Infrastructure Engineer to join our team as we continue building more and more models into our key business processes.
- This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
- Design and implement tools and pipelines to help our data scientists build and backfill new features using Snowflake for data warehousing, dbt for data transformation, and Python for machine learning modeling.
- Utilize Kubernetes and Python for orchestrating containerized machine learning applications and ensuring scalable deployment across our production environments.
- tensorflow, keras, etc) and more sophisticated architectures.
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