Data Scientist
Tasks
- Build production ML pipelines
- Collaborate with data engineering and software engineering teams
- Create knowledge bases and AI agents
- Deploy and monitor machine learning models
- Design retrieval-augmented generation solutions
- Design scalable data science and machine learning solutions
- Develop AI powered applications with Streamlit
- Improve data science processes and automate workflows
- Integrate Large Language Models into business workflows
- Maintain technical documentation and share knowledge
- Perform quantitative and qualitative data analysis
- Translate business needs into AI and analytics solutions
Perks/Benefits
- Dental coverage
- Employee assistance program
- Learning opportunities
- Medical coverage
- Mental health support
- Mentoring
- Paid parental leave
- Paid vacation
- Paid volunteer hours
- Statutory Holidays
- Vision coverage
Skills/Tech-stack
API | Agile | CI/CD | Confluence | Data Governance | Data Modeling | Databricks | Deep learning | Deployment | Distributed Computing | ELT | ETL | Embeddings | Feature Engineering | Jira | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Power BI | Prompt engineering | Prompting | PySpark | Python | Qlik | Retrieval-Augmented Generation | SQL | Semantic Search | Streamlit | Tableau | Testing | Trello | Vector Databases | Version control
Education
N/A
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