We are seeking a forward-thinking AI Data Engineer to bridge the gap between our user data assets and advanced AI capabilities.
Requirements
- Design, build, and maintain a scalable User Data Warehouse to consolidate data from fragmented sources.
- Design efficient data models to support high-performance querying and analytics.
- Implement ETL/ELT pipelines to ensure real-time or near-real-time data availability and quality.
- Establish a comprehensive User Tagging/Labeling System (User Portrait).
- Develop algorithms to generate static, behavioral, and predictive tags to accurately segment users.
- Lead the integration of Large Language Models with our internal data.
- Develop APIs and middleware that allow downstream applications to interact with data using natural language.
Benefits
- Bonus
- Long term incentives