Data Scientist
Posted Updated 3
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Summary
Build and optimize generative AI models, knowledge graphs, and RAG pipelines while processing natural language for applications like topic modeling and information extraction.
- Build machine learning models
- Collaborate with cross-functional teams
- Develop generative AI applications
- Develop knowledge graphs
- Document requirements and specifications
- Implement and optimize generative AI models
- Implement rag pipelines
- Integrate multiple data sources
- Optimize embeddings indexing chunking reranking prompts and evaluation
- Process natural language for information extraction parsing and topic modeling
- Test and troubleshoot AI solutions
- Use GitHub for code management
- Use Jira for project tracking
- Utilize cloud GPU machines