Data Scientist
Tasks
- Build machine learning models
- Collaborate with cross-functional teams
- Develop RAG pipelines
- Develop generative AI applications
- Document requirements and specifications
- Implement and optimize generative AI models
- Integrate multiple data sources
- Manage testing and quality
- Track work in Jira
- Troubleshoot and solve problems
- Use GitHub for version control
- Utilize GPU machines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Artificial neural networks | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | Flan-T5 | GPT | Generative AI | GitHub | Jira | Jupyter | Knowledge graph | Language Processing | Llama | Machine Learning | Mistral | Model Evaluation | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented design | Pandas | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | SQL | Scikit-learn | Supervised Learning | Testing | Text Analytics | Topic Modeling | Unsupervised Learning | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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