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postgresql sql python kubernetes pytorch📋 Description
- Design, build, and deploy scalable AI/ML services with clear boundaries.
- Own full lifecycle delivery from architecture to observability.
- Define verification/validation for AI services, including unit/integration tests.
- Integrate CI/CD and MLOps for automated model builds and deployment.
- Translate product requirements into technical designs; support regulatory docs.
🎯 Requirements
- Bachelor's or Master's in Computer Science, SE, or related field.
- 7+ years in software engineering with AI production systems (Python, PyTorch).
- Data services experience: SQL, PostgreSQL, NoSQL, Redis.
- Unit/integration testing for ML models; data validation and reproducibility.
- CI/CD, orchestration: Airflow, Kubernetes; ML platforms: SageMaker, Databricks.
- Strong collaboration with ML scientists, engineers, regulatory teams.
- Comfortable with ambiguity; drive clarity across product, eng, biz.
🎁 Benefits
- Remote-friendly with offices in Denver, New York, Dallas, Lisbon.
- Access to Google Workspace, Slack, Confluence/Jira, and Zoom.
- Impactful work in healthcare AI and precision diagnostics.
- Occasional travel for team meetings; some roles may travel more.
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