Remote Senior Python Ai Engineer: Scalable Ai Backends

Proxify; Quilmes; Remote; ARS 1.500.000 - 2.400.000; Vollzeit

Zusammenfassung

Proxify is seeking a Machine Learning Engineer with a strong Python foundation and a focus on NLP to join our fintech-focused team in Argentina. You will build models for document understanding, apply NLP with spaCy, NLTK, or transformers, and deploy services as REST APIs.

The role involves processing OCR/PDF/Excel inputs and shaping data pipelines in collaboration with cross-functional teams. You will work with modern ML tools and libraries, including deep learning frameworks and LLMs, and

Qualifikationen

• Master’s degree in CS, Data Science, or related field.
• 2–5 years of ML engineering experience focused on NLP or financial data.
• Experience with document processing and reconciliation/ accounting domain is a plus.

Aufgaben

• Develop ML models for document understanding and processing.
• Implement NLP techniques and fuzzy matching for accuracy.
• Build REST APIs and deploy models with Docker/Azure ML.
• Process OCR/PDF/Excel data; design data pipelines and ETL.
• Collaborate with cross-functional teams to meet project goals.

Kenntnisse

Python (Pandas, NumPy, scikit-learn)

NLP libraries (spaCy, NLTK, transforms

Fuzzy matching techniques

OCR / document processing

ML model deployment (REST APIs, Docker

Supervised & unsupervised learning

Deep learning frameworks (TensorFlow,.

LLMs for document understanding (OpenA

Azure ML services

Finance/fintech data processing

2-5 years ML engineering experience

Ausbildung

Master’s degree in CS / Data Science

Tools

FastAPI

SQLAlchemy

Docker

Git

RabbitMQ

Kafka

Celery

Redis Queue

Azure ML

Azure Cognitive Services

Jobbeschreibung

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 (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).

Education:

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

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Semi Senior

Senior

FastAPI

SQLAlchemy

Docker

Git

RabbitMQ / Kafka / Celery / Redis Queue