Remote Data Analyst | Ml Insights & Sql Automation

Gbsgroup; Quilmes; A distancia; ARS 46.491.000 - 92.983.000; Jornada completa

Descripción de la vacante

Gbsgroup in Argentina is seeking a Machine Learning Engineer focused on NLP to join our team. You will build models for document understanding, leverage Python libraries for data processing, and apply NLP techniques with spaCy, NLTK, or transformers.

The role involves OCR-based data extraction and deploying models as REST APIs. The ideal candidate will have hands-on experience in the finance/fintech domain, particularly in reconciliation or accounting, and a solid background in supervised and

Formación

• Minimum experience with ML/NLP in a production environment.
• Experience in finance/fintech domains, reconciliation or accounting is preferred.
• Strong Python programming skills and data manipulation using popular libraries.

Responsabilidades

• Develop and implement ML models for document understanding and processing.
• Use Pandas, NumPy, and scikit-learn for data manipulation and analysis.
• Apply NLP techniques using spaCy, NLTK, or transformers.
• Implement fuzzy matching algorithms for data accuracy.
• Process documents via OCR, PDF parsing and Excel data extraction.
• Deploy ML models as REST APIs using Docker and Azure ML.
• Understand and apply supervised and unsupervised learning methods.

Conocimientos

NLP

Herramientas

Python

Pandas

NumPy

scikit-learn

spaCy

NLTK

transformers

OCR

Descripción del empleo

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 ideal 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