Open role
Data / ML Engineer
Most AI work fails on the data, not the model. You build the pipelines that make a customer's data usable, and you keep them running after we hand them over.
What you'll do
- Build and operate the pipelines an engagement depends on
- Make messy customer data trustworthy enough to build on
- Own evaluation data so we can prove a system works
- Hand over pipelines that survive without us
What we look for
- production data pipelines
- python
- SQL
Nice to have
- dbt/airflow
- feature stores
- model training + eval