Senior Computer Vision Engineer - Google Solar Api (Remote)

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

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.

• 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.

• 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).

Master’s degree in Computer Science, Data Science, or a related field.