Data Scientist
Tasks
- Build and deploy data pipelines with Python
- Build data visualizations and dashboards
- Build, train, and deploy machine learning models
- Design implement and improve LLM powered applications
- Develop retrieval-augmented generation pipelines
- Diagnose and resolve data and model issues
- Evaluate models and enforce code quality
- Perform exploratory data analysis
- Track experiments and ensure reproducibility
- Translate business requirements into data-driven solutions
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Azure | Cypress | Data Analysis | Databricks | Docker | Embeddings | Experiment tracking | Exploratory Data Analysis | FastAPI | GitHub | LLM | MSSQL | Machine Learning | Machine Learning Pipelines | Model Monitoring | Model Serving | Multi-step reasoning | NumPy | Orchestration | Pandas | PostgreSQL | Prompt engineering | Python | RAG | Reproducibility | Retrieval-Augmented Generation | SQL | Scikit-learn | SonarQube | Vector Database
Education
N/A
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