AI Engineer - Use Cases & Semantic Layer
Tasks
- Build AI agents assistants and automation solutions
- Collaborate with IT and data engineering teams for data access alignment
- Connect data models and business logic into usable solutions
- Design and build end to end AI use cases
- Explore and implement new AI capabilities and tools
- Integrate and activate AI models in business workflows
- Optimize solutions for performance scalability and cost
- Query analyze and prepare data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Analytics | Azure | Cloud Computing | Data Modeling | Data integration | Databricks | Google Cloud | LLM | Lakehouse | Langchain | Machine Learning | Python | SQL | Snowflake
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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