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 build end to end AI use cases across analytics and business workflows
- Explore and implement new AI capabilities and tools
- Integrate and activate AI models into business use cases
- Optimize performance, scalability, and cost
- Query analyze and prepare data
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | Apache Spark | Data Modeling | Data Transformation | Data analytics | Databricks | Google Cloud | LLM | Lakehouse | Langchain | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Python | SQL | Semantic layer | Snowflake
Education
N/A
Roles
Regions
Countries
States
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