Data Science Work From Home Internship

Selected intern's day-to-day responsibilities include:

1. Prompt Engineering: Design, optimize, and refine prompts to improve the accuracy and efficiency of the RAG system.
2. Data Management: Define and manage data classes tailored to our RAG implementation, ensuring data quality and consistency.
3. Pipeline Maintenance: Build, maintain, and enhance data pipelines that feed into the RAG system to ensure seamless data flow.
4. Model Fine-Tuning: Assist in fine-tuning models to align with specific tasks and improve overall performance.
5. Performance Monitoring: Continuously monitor and analyze the RAG system's performance, proposing improvements when needed.
6. Documentation: Create and maintain detailed documentation of the data pipeline, prompt iterations, and overall RAG system changes.

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