Summary: Develop and scale enterprise AI platforms.
Responsibilities:
- Build self-service platforms for model deployment.
- Integrate MLOps tools (e.g., MLflow, Kubeflow).
- Enable multi-tenancy and resource management.
Skills: - Proficiency in Go/Python; knowledge of Ray or Seldon Core.
Key Process: Building Scalable AI Platforms
- Inputs: Platform requirements, MLOps tools, user feedback.
- Activities:
- Develop APIs for model deployment.
- Enable multi-tenant resource allocation.
- Integrate monitoring/alerting systems.
- Outputs: Self-service AI platforms, developer documentation.
- Stakeholders: Data engineers, DevOps, end-users.
- Tools: Kubeflow, Seldon Core, Docker.