Staff ML Engineer: End-to-End AI for Risk

Steadily in Austin, TX is seeking a Staff Machine Learning Engineer to own end-to-end ML projects—data prep, model development, deployment, and monitoring in production. As the second ML hire, you will influence architecture, tooling, and ML strategy.

You will work with raw data sources, build lightweight pipelines, perform feature engineering, and deploy models across a scalable, event-driven stack (Kafka, AWS, Python, Django/FastAPI, Postgres).