Senior ML/NLP Engineer for Financial Document Processing

Fullstack; Partido de Quilmes; Remote; ARS 900,000 - 1,700,000; Full time

Job summary

Fullstack is seeking a Machine Learning Engineer with a strong Python background focused on NLP to join our team in Argentina. You will build models for document understanding in financial reconciliation and accounting, using Pandas, NumPy, and scikit-learn, and deploy them via REST APIs with Docker and Azure ML.

Deep learning experience with TensorFlow or PyTorch, plus experience with LLMs (OpenAI, Azure OpenAI), is highly valued. Collaboration across teams is essential.

Qualifications

• Proficient in Python for ML/NLP in finance domain.
• Experience with document processing and reconciliation tasks.
• Knowledge of OCR, PDF parsing, and Excel extraction.

Responsibilities

• Develop ML models for document understanding and processing.
• Apply NLP techniques with spaCy, NLTK, or transformers.
• Implement fuzzy matching for data accuracy.
• Deploy models as REST APIs using Docker and Azure ML.
• Build data pipelines and ETL processes.
• Collaborate with cross-functional teams to meet goals.

Skills

Python

Pandas

NumPy

scikit-learn

NLP

spaCy

NLTK

Transformers

Fuzzy matching

OCR

PDF parsing

Excel data extraction

REST APIs

Deep learning

TensorFlow

PyTorch

LLMs

OpenAI

Azure Cognitive Services

Education

Master's degree in Computer Science

Master's degree in Data Science

Tools

Docker

Azure ML

Azure OpenAI

OpenAI API

Azure Cognitive Services

Job description

Fullstack is seeking a Machine Learning Engineer with a strong Python background focused on NLP to join our team in Argentina. You will build models for document understanding in financial reconciliation and accounting, using Pandas, NumPy, and scikit-learn, and deploy them via REST APIs with Docker and Azure ML.

Deep learning experience with TensorFlow or PyTorch, plus experience with LLMs (OpenAI, Azure OpenAI), is highly valued. Collaboration across teams is essential.