Data Scientist
Tasks
- Build machine learning models
- Collaborate with cross-functional teams
- Develop Python generative ai applications
- Develop RAG pipelines
- Develop predictive and prescriptive analytics models
- Document requirements and specifications
- Implement generative AI models
- Integrate multiple data sources
- Manage GPU workloads and memory
- Optimize embeddings indexing chunking reranking prompts evaluation
- Perform natural language processing and text analytics
- Use GitHub and Jira for project work
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Web Services | Apache Spark | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | Flan-T5 | GPT | GPU Computing | Generative AI | GitHub | Information Extraction | Jira | Jupyter | Knowledge graph | Language Processing | Llama | Machine Learning | Mistral | Model Evaluation | NLTK | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented design | Pandas | Prompt engineering | Python | RAG Pipelines | Reranking | Retrieval-Augmented Generation | SQL | SQL Server | Scikit-learn | Testing | Text Analytics | Topic Modeling | Vector indexing | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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