Data Scientist
Tasks
- Build RAG pipelines
- Build and troubleshoot machine learning solutions
- Collaborate with cross-functional teams
- Create embeddings and indexing
- Develop and maintain Python applications for generative AI
- Develop prompts and evaluation
- Document requirements and specifications
- Implement and optimize generative AI models
- Integrate AI functionalities into systems
- Manage GPU workloads in cloud
- Perform chunking and reranking
- Train and fine-tune NLP models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial neural networks | Azure | Chunking | Databricks | Deep learning | Embeddings | GPU Computing | GitHub | Jira | Jupyter | Language Processing | Model Evaluation | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented programming | Pandas | Prompt engineering | Python | RAG | Reranking | SQL | Scikit-learn | Spark | Supervised Learning | Text Analytics | Unsupervised Learning | Vector Databases
Education
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