Tasks:
- * Apply emerging LLM and multimodal technologies
- * Automate evaluation, analysis, optimization, and regression testing
- * Build domain evaluation datasets
- * Design and optimize NL2SQL algorithms
- * Develop data traceability and root-cause diagnosis
- * Develop Text-to-SQL and Data Agent capabilities
- * Diagnose and enhance data semantics using lineage, logs, and schemas
- * Generate analytical reports and visualizations
- * Improve SQL generation accuracy and stability
Perks/Benefits:
Skills/Tech stack required:
[Algorithm Design] [BI Dashboard] [BI Dashboard Analysis] [Dashboard analysis] [Database systems] [Data Lineage] [Data Warehousing] [Deep learning] [Fine Tuning] [Language Processing] [LLM Agents] [LLM Fine-tuning] [Model Evaluation] [Natural Language] [Natural Language Processing] [Nl2sql] [Prompt engineering] [Python] [PyTorch] [Retrieval-Augmented Generation] [Schema analysis] [SQL] [TensorFlow] [Text-to-SQL]
Educational requirements:
[Master's Degree]
Role(s):
[Agent Engineer] [Data Agent Engineer] [Engineer] [Language Model Engineer] [Large Language Model Engineer] [Learning Engineer] [Machine Learning Engineer] [Model Engineer] [Natural Language Processing Engineer] [Processing Engineer]