Distributed Cloud | AI Data Engineer
Tasks
- Apply causal inference for business insights
- Build retrieval augmented generation RAG pipelines
- Build semantic data models and metric definitions
- Design scalable data solutions for AI applications
- Evaluate LLM outputs
- Improve data quality governance and semantic consistency
- Integrate LLMs using prompt engineering
- Integrate data platforms with semantic layers and AI solutions
- Mentor engineers and lead code reviews
- Provide technical leadership and architectural guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | BigQuery | Causal Inference | Causal ML | Cloud Run | Cloud platform | Data Governance | Databricks | Databricks Apps | Delta Lake | Difference-in-differences | FastAPI | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Instrumental Variables | Langchain | MLflow | Prompt engineering | PubSub | Python | Regression Discontinuity Design | Regression discontinuity | Retrieval-Augmented Generation | SQL | Unity Catalog | Vertex AI
Education
Roles
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