Senior Data Scientist
Tasks
- Build machine learning models
- Collaborate with cross-functional teams
- Create embeddings index and chunk data
- Develop generative AI applications
- Develop retrieval-augmented generation pipelines
- Document requirements and specifications
- Ensure reliability, performance, and scalability
- Implement and optimize generative AI models
- Integrate multiple data sources
- Manage GPU memory for training and inference
- Perform NLP text analytics for information extraction
- Rerank and evaluate RAG outputs
- Support client delivery
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Web Services | Apache Spark | Artificial neural networks | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | Evaluation | Flan-T5 | GPT | Generative AI | GitHub | Indexing | Information Extraction | Jira | Jupyter | Knowledge graph | Language Processing | Llama | Machine Learning | Mistral | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented design | Pandas | Predictive Analytics | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | SQL | SQL Server | Scikit-learn | Supervised Learning | Testing | Text Analytics | Topic Modeling | Unsupervised Learning | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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