Remote Data Analyst (Ml) - Sql, Python, Insights

Sigma; Quilmes; A distancia; ARS 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Sigma is seeking a Machine Learning Engineer specializing in Python and NLP to join our fintech-focused team in Argentina. You will build models for document understanding, apply OCR, and deploy APIs. You will work with Pandas, NumPy, scikit-learn, spaCy, NLTK, transformers, and implement fuzzy matching and record linkage.

Experience in reconciliation and accounting domains is a plus. The role emphasizes end-to-end ML development in a finance context.

Responsabilidades

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

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