Senior Data Engineer AI | Inglês
Core
Building intelligent solutions for document automation and data analysis in financial contexts.
Role type
Senior Machine Learning Engineer (NLP & Document Processing)
Builds
Scalable data pipelines, ML models, and document processing solutions for financial clients.
Domain
Financial services / NLP / Document Intelligence
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, scikit-learn), NLP libraries (spaCy, NLTK, Transformers), Document processing (OCR, PDF, Excel), Model deployment (REST APIs, Docker, Azure ML), Supervised and unsupervised ML, Data pipelines and ETL
Preferred skills
Financial/fintech domain knowledge, Azure Machine Learning and Cognitive Services, Deep learning frameworks (TensorFlow, PyTorch), LLMs for document understanding
Technologies
Python, Pandas, NumPy, scikit-learn, spaCy, NLTK, Transformers, OCR, PDF, Excel, REST APIs, Docker, Azure ML, TensorFlow, PyTorch, OpenAI, Azure OpenAI
Responsibilities
Develop ML and NLP solutions for document information extraction; Work with OCR, PDF parsing, and Excel data extraction; Implement fuzzy matching algorithms; Build and maintain data pipelines and ETL processes; Develop, train, and validate ML models; Deploy models using REST APIs, Docker, and Azure services; Integrate solutions with external systems and corporate applications; Collaborate with multidisciplinary teams to deliver scalable solutions
Seniority
Senior, hands-on IC