Data Scientist
Tasks
- Build machine learning models
- Collaborate with cross-functional teams
- Create embeddings and indexing
- Develop RAG pipelines
- Develop and optimize generative AI models
- Develop knowledge graphs
- Develop natural language processing pipelines
- Document requirements and specifications
- Evaluate RAG pipeline performance
- Implement chunking reranking and prompts
- Integrate AI into applications
- Perform text analytics for information extraction
- Use GPU cloud resources to run models
- Use GitHub for version control
- Use Jira for project tracking
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial neural networks | Chunking | Data Structures | Deep learning | Embeddings | Git | GitHub | Information Extraction | Jira | Jupyter | Language Processing | Machine Learning | Model Evaluation | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented programming | Pandas | Predictive Analytics | Prescriptive Analytics | Prompt engineering | Python | RAG | Reranking | Retrieval-Augmented Generation | SQL | SQL Server | Scikit-learn | Spark | Testing | Text Analytics | Topic Modeling | Vector indexing
Roles
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