Evergreen: Senior AI Platform & Data Engineer
Tasks
- Build distributed caching services
- Build managed vector database for RAG
- Create datasets for data analysts and data scientists
- Design and build scalable AI ML infrastructure
- Develop data pipelines and data engineering systems
- Develop model control plane for model registry and lineage tracking
- Implement model lifecycle management
- Integrate human-in-the-loop workflows
- Maintain data architectures and systems
- Mentor junior data engineers
- Present technical work and write documentation
- Research and integrate AI agent frameworks
- Support planning sessions for data architecture
- Support recruiting by evaluating assignments
- Transform raw data into interpretable information
Perks/Benefits
- 401k employer match
- Employee assistance program
- Flexible PTO
- Paid parental leave
- Subsidized Dental Insurance
- Subsidized Vision Insurance
- Subsidized health insurance
Skills/Tech-stack
Amazon ECS | Apache Spark | Caching | Data Lineage | Data Pipelines | Data Privacy | Databricks | Feature Store | Human-in-the-loop | Kubernetes | Machine Learning | Model Deployment | Observability | OpenAPI | Python | Retrieval-Augmented Generation | SQL | The Loop | Vector Database
Education
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