Master’s Scholarship Fellow – Data Scientist, NLP, and Semantic Search Systems

Job not on LinkedIn

🔥 50 minutes ago

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

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Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• Perform text preprocessing and enrichment, including cleaning, tokenization, lemmatization, noise removal, and feature extraction • Create document and query embeddings using models such as Sentence-BERT, OpenAI Ada, or similar models • Store and index embeddings in vector databases such as FAISS, ChromaDB, Qdrant, or Pinecone • Develop semantic search, information retrieval, and RAG application pipelines • Evaluate retrieval and generated-response quality using metrics such as recall@k and MRR • Adapt pretrained models in PyTorch or TensorFlow for classification, similarity, and information extraction • Experiment with architectures such as transformers and simple neural networks • Document pipelines, technical decisions, and experiment results • Use Git for code version control

🎯 Requirements

• Master’s degree in progress or completed • Degree in Computer Science, Computer/Software Engineering, Information Systems, Statistics, Applied Mathematics, Electrical Engineering, Data Science, or related fields in the Exact Sciences and Engineering disciplines • Python programming proficiency, including typing, data manipulation with pandas/polars, and virtual environment management • Practical experience with NLP, including tokenization, stemming/lemmatization, stopword removal, and vectorization (TF-IDF, word2vec, or embeddings) • Applied knowledge of embeddings, semantic search, and RAG techniques • Familiarity with vector databases such as FAISS, ChromaDB, Pinecone, or Qdrant • Experience with at least one deep learning framework: PyTorch or TensorFlow • Sufficient knowledge to load pretrained models and perform basic fine-tuning • Understanding of analytical pipelines and experimentation in data science applied to NLP • Git version control • Availability to work 40 hours per week • Preferred qualifications: experience with LLMs, prompt engineering, and response evaluation • Preferred qualifications: knowledge of PostgreSQL, MongoDB, and Redis • Preferred qualifications: experience working on real-world academic or professional projects involving documentation and testing

🏖️ Benefits

• Scholarship Stipend: BRL 9,000.00 • Remote work available • 40-hour workweek • 9-month duration

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