AI Data Analytics Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build analytics pipelines
- Create evaluation frameworks
- Define metrics
- Design data models
- Develop warehouse and semantic models
- Embed analytics and AI into APIs
- Enable self-serve analytics
- Ensure secure responsible data use
- Implement embeddings
- Integrate large language models
- Perform prompt engineering
- Select models and optimize cost latency
- Set up monitoring for accuracy and safety
- Ship AI ML features
Perks/Benefits
- N/A
Skills/Tech-stack
API | Amazon Redshift | BigQuery | CI/CD | Cloud Platforms | DBT | Data Modeling | Data Pipelines | Embeddings | Langchain | Langgraph | Language Models | Large Language Models | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Safety Guardrails | Snowflake | Testing | Vector Databases
Education
N/A
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