We are seeking a Machine Learning Engineer with strong expertise in Python and a focus on Natural Language Processing (NLP) to join our team. The idóneo candidate will have experience in the finance or fintech domain, specifically in reconciliation and accounting.
Responsibilities:
- Develop and implement machine learning models for document understanding and processing.
- Utilize Python libraries such as Pandas, NumPy, and scikit-learn for data manipulation and analysis.
- Apply NLP techniques using libraries like spaCy, NLTK, or transformers.
- Implement fuzzy matching algorithms (e.g., Levenshtein distance, record linkage) for data accuracy.
- Process documents using OCR, PDF parsing, and Excel data extraction methods.
- Deploy machine learning models as REST APIs using Docker and Azure ML.
- Understand and apply supervised and unsupervised learning techniques.
- Design and manage data pipelines and ETL processes.
- Collaborate with cross-functional teams to meet project goals.

Required Skills:




- Strong expertise in Python (Pandas, NumPy, scikit-learn).
- Experience with NLP libraries (spaCy, NLTK, transformers).
- Knowledge of fuzzy matching algorithms.
- Document processing skills (OCR, PDF parsing, Excel extraction).
- Experience in ML model deployment (REST APIs, Docker, Azure ML).
- Understanding of supervised/unsupervised learning techniques.
- Familiarity with deep learning frameworks (TensorFlow, PyTorch).
- Experience with Large Language Models (LLMs) for document understanding (OpenAI, Azure OpenAI).
- Knowledge of Azure ML services and Azure Cognitive Services.
- 2-5 years of experience in ML engineering, focusing on NLP or financial data processing.
- Experience in the finance/fintech domain (reconciliation, accounting).

Education:
Master’s degree in Computer Science, Data Science, or a related field.

📌 Python Developer (Buenos Aires)
🏢 Werben Hr
📍 Buenos Aires