Data Analysis and Applied Artificial Intelligence Internship – LLMs

Job not on LinkedIn

🔥 20 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Instituto de Pesquisas Eldorado

Instituto de Pesquisas Eldorado

1001 - 5000 employees

Founded 1999

📡 Telecommunications

Research and Development • Telecommunications • Consulting

Instituto de Pesquisas Eldorado is a leading research and development institute providing innovative technology solutions to accelerate digital transformation. With over 20 years of experience, the institute specializes in product certification for telecommunications, laboratory testing, and offers consulting services in innovation across various sectors including agriculture, automotive, energy, healthcare, and Oil & Gas. They also focus on training and education to enhance technological capacity and foster partnerships for technological advancements.

📋 Description

• 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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