Senior Data Scientist
Tasks
- Build machine learning models
- Collaborate with cross-functional teams
- Create embeddings indexing chunking and reranking
- Design prompts and evaluation
- Develop generative AI applications
- Develop knowledge graph solutions
- Document requirements and specifications
- Implement rag pipelines
- Integrate multiple data sources
- Manage gpu memory on cloud
- Optimize generative AI models
- Troubleshoot production issues
- Use testing tools
Perks/Benefits
- Client satisfaction focus
- Collaboration with cross-functional teams
- Fast-paced environment
- Scalability and performance opportunities
Skills/Tech-stack
AWS | Artificial neural networks | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | GPU | Generative AI | GitHub | Indexing | Information Extraction | Jira | Jupyter | Language Processing | Machine Learning | Model Evaluation | NLP | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented design | Pandas | Predictive Analytics | Prescriptive Analytics | Prompt engineering | Python | RAG | Reranking | Retrieval-Augmented Generation | SQL | SQL Server | Scikit-learn | Spark | Supervised Learning | System design | Testing | Text Analytics | Topic Modeling | Unsupervised Learning
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