Master's Scholar – Knowledge Engineering, RAG
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Job Description
Trainee involved in DataOps automation and semantic governance at INSTITUTO ITAÚ. Focused on RAG, LLMs, and developing Vector Database solutions with home office arrangement.
Responsibilities:
- Conduct systematic literature review on RAG, LLMs, and semantic governance
- Perform benchmarking of corporate and market solutions for DataOps automation
- Develop embeddings engineering, chunking, and indexing techniques
- Build and validate the vector database and retrieval mechanisms
- Implement a RAG baseline, evaluating top-k, accuracy and latency
Requirements:
- Master's degree in Exact Sciences
- Proficiency in Python programming
- Knowledge of NLP, embeddings, and vector databases
- Experience with PyTorch and/or TensorFlow
- Understanding of data structures and analytical pipelines
- Desirable experience with RAG, LlamaIndex, and LangChain
Benefits:
- Stipend: BRL 9,000.00
- Availability: 40 hours per week
- Remote work (Home Office)
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