Senior Data Engineer AI | Inglês
Required skills
Strong experience in Python (Pandas, NumPy, scikit-learn), Experience with NLP libraries (spaCy, NLTK or Transformers), Knowledge in document processing (OCR, PDFs, Excel), Experience with model deployment (REST APIs, Docker, Azure ML), Understanding of supervised and unsupervised machine learning techniques, Experience with data pipelines and ETL, 2 to 5 years of experience in Machine Learning with focus on NLP or financial data, Advanced/Fluent English
Preferred skills
Experience in financial sector/fintech (reconciliation, accounting), Knowledge of Azure Machine Learning and Cognitive Services, Experience with deep learning frameworks (TensorFlow, PyTorch), Experience with LLMs for document understanding (OpenAI, Azure OpenAI)
Technologies
Python, Pandas, NumPy, scikit-learn, spaCy, NLTK, Transformers, OCR, PDFs, Excel, REST APIs, Docker, Azure ML, Azure Machine Learning, Cognitive Services, TensorFlow, PyTorch, LLMs, OpenAI, Azure OpenAI
Responsibilities
Develop machine learning and NLP solutions for information extraction and processing from documents, Work with OCR, PDF parsing and data extraction from Excel, Implement fuzzy matching algorithms (e.g. Levenshtein, record linkage), Build and maintain data pipelines and ETL processes, Develop, train and validate machine learning models (supervised and unsupervised), Deploy models using REST APIs, Docker and Azure services, Integrate solutions with external systems and corporate applications, Collaborate with cross-functional teams to deliver scalable solutions
Seniority
Senior
Domain
Financial services