Job Description
Key responsibilities:
- Design, implement, and maintain ML-driven services and data workflows in Python.
- Apply software engineering best practices : clean code, testing (unit/integration), code review, CI/CD, observability, and documentation.
- Build and maintain evaluation pipelines and metrics to measure model and system performance in production-like environments.
Required Skills:
- Experience as a Software Engineer or ML Engineer.
- Strong proficiency in Python and experience building production services.
- Hands-on experience deploying and running workloads on GCP.
Bonus points for:
- Experience writing code in Java.
- Have built or maintained data pipelines/ETL jobs on GCP.
- Have experience with healthcare data, compliance, or working with PII.
About CertifyOS
CertifyOS is building the infrastructure that powers the next generation of provider data products, making healthcare more efficient, accessible, and innovative.