Data Analysis and Applied Artificial Intelligence Internship – LLMs
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Job Description
Data Analysis and AI Internship at Instituto de Pesquisas Eldorado. Engage in data exploration, ML concepts, and AI integration for user feedback analysis.
Responsibilities:
- Support exploratory, descriptive and predictive analysis of user feedback data;
- Contribute to building and evolving data and AI pipelines, including data ingestion, processing and insight generation;
- Participate in the development, testing and evaluation of LLM-based solutions, including advanced fine-tuning and prompting, and implementation of RAG (Retrieval-Augmented Generation);
- Assist in creating and experimenting with intelligent agents integrated with tools, APIs and knowledge bases;
- Assist in defining and monitoring model quality and performance metrics;
- Contribute best practices for development, documentation and critical evaluation of the limitations of AI solutions;
- Collaborate on automating analytical processes to achieve scalability and efficiency.
Requirements:
- Currently pursuing a bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields;
- Knowledge of Python for data analysis and/or development;
- Familiarity with Machine Learning and NLP concepts;
- Initial knowledge of or interest in modern AI technologies such as LLMs and related ecosystems (e.g., OpenAI API, Hugging Face, LangChain, LlamaIndex); techniques such as prompting, fine-tuning and RAG; basic SQL, version control with Git and a Linux environment;
- Advanced English for reading and understanding technical documentation;
- Desirable: academic experience or personal projects with LLMs or generative AI;
- Knowledge of building agents (AI agent-based systems);
- Familiarity with data pipelines (ETL/ELT) and automation tools;
- Experience with libraries such as PyTorch, TensorFlow, or similar;
- Interest in user experience (UX) analysis and product data.
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