Data Scientist
Tasks
- Build artificial intelligence applications
- Build topic modeling pipelines
- Create dashboards and visualizations
- Create document embeddings workflows
- Create large language model solutions
- Design machine learning solutions
- Develop data pipelines
- Develop natural language processing models
- Document methodologies for reproducibility
- Generate reports and presentations
- Optimize predictive analytics models
- Present findings to stakeholders
- Process and clean structured data
- Process and clean unstructured data
- Train supervised machine learning models
- Train unsupervised machine learning models
Perks/Benefits
Skills/Tech-stack
AI Services | Amazon Web Services | Artificial Intelligence | Azure AI | Azure AI Services | Clustering | Data Pipelines | Data Visualization | Document Embeddings | Generative AI | Keras | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OpenAI | Predictive Analytics | PyTorch | Python | R | SQL | Scikit-learn | Tableau | TensorFlow | Topic Modeling | Transformers | Web Services
Education
Roles
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