Data Scientist
Tasks
- Build predictive models
- Build retrieval-augmented generation pipelines
- Communicate model insights to stakeholders
- Develop machine learning pipelines
- Develop tool using LLM workflows
- Identify test and share AI enabled enhancements
- Implement multi-agent systems
- Integrate AI tools into daily workflows
- Optimize performance latency and token efficiency
- Produce maintainable code for manufacturing environments
- Test deploy and monitor models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Angular | Classification | Cloud Computing | Cloud platform | Containerization | Data Visualization | Docker | ETL | FastAPI | Feature Engineering | Function Calling | Git | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Evaluation | Multi-Agent | Multi-Agent Systems | Power BI | Process optimization | Python | RAG | React | Regression | Retrieval strategies | SQL | Series analysis | Series forecasting | Statistics | Streamlit | Tableau | Time Series | Time Series Analysis | Time Series Forecasting
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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