Descripción de la vacante

Remoto: Teletrabajo

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 (., 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.

📌 Senior Ml Ops Engineer - Remote | Python & Cloud (Quilmes)
🏢 FullStack
📍 Quilmes