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

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Conduct text preprocessing and enhancement tasks, including cleaning, tokenization, lemmatization, noise reduction, and feature extraction.

• Generate document and query embeddings utilizing models like Sentence-BERT, OpenAI Ada, or similar frameworks.

• Save and index embeddings in vector databases such as FAISS, ChromaDB, Qdrant, or Pinecone.

• Build semantic search, information retrieval, and RAG application pipelines.

• Assess retrieval and generated response quality using metrics such as recall@k and MRR.

• Modify pretrained models in PyTorch or TensorFlow for tasks involving classification, similarity, and information extraction.

• Test architectures including transformers and basic neural networks.

• Maintain documentation for pipelines, technical choices, and experimental outcomes.

• Utilize Git for version control of code.

⛳️ Requirements

• Master’s degree either in progress or completed.

• Degree in fields such as Computer Science, Computer/Software Engineering, Information Systems, Statistics, Applied Mathematics, Electrical Engineering, Data Science, or other related disciplines within the Exact Sciences and Engineering sectors.

• Proficiency in Python programming, including typing, data manipulation with pandas/polars, and managing virtual environments.

• Hands-on experience with NLP techniques, including tokenization, stemming/lemmatization, stopword removal, and vectorization (TF-IDF, word2vec, or embeddings).

• Practical understanding of embeddings, semantic search, and RAG methodologies.

• Familiarity with vector databases such as FAISS, ChromaDB, Pinecone, or Qdrant.

• Experience with at least one deep learning framework: either PyTorch or TensorFlow.

• Adequate knowledge to load pretrained models and execute basic fine-tuning.

• Comprehension of analytical pipelines and experimentation within the data science field as it pertains to NLP.

• Proficient in Git version control.

• Availability to work 40 hours each week.

• Preferred qualifications: experience with LLMs, prompt engineering, and response evaluation.

• Preferred qualifications: knowledge of PostgreSQL, MongoDB, and Redis.

• Preferred qualifications: experience participating in real-world academic or professional projects that involve documentation and testing.

🏝️ Benefits

• Scholarship Stipend: BRL 9,000.00.

• Option for remote work.

• 40-hour workweek.

• Duration of 9 months.