Senior Data Science Engineer, GenAI Platforms & Data Infrastructure
Tasks
- Build feature workflows
- Build platform services
- Build production data pipelines
- Collaborate with product engineering and business teams to deliver systems
- Combine customer usage adoption and support signals
- Create AI workflows for summarization and insight generation
- Create LLM powered agents
- Design prompts and tool functions for agents
- Implement access control and governance
- Implement alerting and observability
- Implement feedback loops
- Improve GenAI quality with evaluation and retrieval design
- Improve data quality and lineage
- Ingest structured and unstructured data
- Integrate tools and services
- Manage monitoring and reliability
- Own data ingestion components
- Own orchestration components
- Own semantic layers
- Recommend actions from customer signals
- Reduce manual work with AI automation
- Support operational deployment and troubleshooting
- Use Git code review and CI CD to ship production workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | API | Access Control | Apache Spark | CI/CD | Code review | Data Lineage | Data Modeling | Data Quality | Databricks | Delta Lake | Embeddings | Git | LLM | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Tool use | Vector Databases | Workflow Orchestration
Education
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