Remote Data Analyst: Ml & Marketing Insights

Ryzlabs; Buenos Aires; Remote; ARS 92,241,000 - 138,361,000; Full time

Job summary

Ryzlabs is seeking a Machine Learning Engineer with strong Python expertise and a focus on NLP to join our team in the fintech domain. You will build models for document understanding, leverage Pandas/NumPy, and apply NLP techniques using spaCy, NLTK, or transformers.

Responsibilities include data pipeline design, OCR/PDF extraction, and deploying models as REST APIs via Docker and Azure ML. Collaboration with cross-functional teams is essential.

Qualifications

• Experience in finance or fintech domains, specifically reconciliation and accounting.
• Proficient in Python-based ML with NLP focus.
• Experience deploying models as REST APIs and managing data pipelines.

Responsibilities

• Develop ML models for document understanding.
• Use Pandas/NumPy for data manipulation.
• Apply NLP with spaCy, NLTK, or transformers.
• Implement fuzzy matching (Levenshtein, record linkage).
• Process documents with OCR, PDF parsing, Excel extraction.
• Deploy models as REST APIs using Docker and Azure ML.
• Work with supervised/unsupervised learning.
• Design and manage data pipelines/ETL.
• Collaborate with cross-functional teams.

Skills

NLP

Python programming

Data analysis

REST API deployment

Cross-functional teamwork

ETL design

Tools

Python

Pandas

NumPy

scikit-learn

spaCy

NLTK

Transformers

Docker

Azure ML

OCR

PDF parsing

Excel extraction

Job description

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 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 (