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 gpu workloads on cloud
- Test and troubleshoot AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Artificial neural networks | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | Evaluation | Flan-T5 | GPT | GitHub | Jira | Jupyter | Language Processing | Llama | Machine Learning | Mistral | 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 | Testing | Text Analytics | Topic Modeling | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Developer | Engineer | Learning Engineer | Machine Learning Engineer | NLP Developer | Scientist
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