- 5+ years of experience building ML systems in production.
- Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
- Proven track record in building, monitoring, and optimizing large-scale ML solutions and infrastructure.
- Experience working in Databricks and Databricks MLflow is essential.
- Experience working with pipeline scheduling tools suchs as Airflow & Astronomer.
- Experience working with CI/CD tools such as Terraform and GitHub.
- Ability to push the frontier of technology and freely pursue better alternatives.