Remote ML Engineer - NLP for Finance & Document Processing

Motorola Solutions; Partido de Quilmes; Remote; ARS 1,800,000 - 2,600,000; Full time

Job summary

Motorola Solutions seeks a Machine Learning Engineer with strong Python and NLP focus to join our team in Argentina, Buenos Aires. You will build models for document understanding, apply OCR/PDF parsing, and deploy REST APIs as Docker services in Azure ML.

You will work with Pandas, NumPy, scikit-learn, spaCy, NLTK, transformers, and large language models to improve reconciliation/fintech data processing. 2–5 years in ML/NLP required.

Qualifications

• Strong Python expertise with Pandas/NumPy/scikit-learn.
• Experience with NLP libraries (spaCy, NLTK, transformers).
• Knowledge of fuzzy matching algorithms for data quality.
• Document processing skills: OCR, PDF parsing, Excel extraction.
• Experience deploying ML models via REST APIs; Docker/Azure ML.
• Understanding of supervised and unsupervised learning.
• Familiarity with deep learning frameworks (TensorFlow, PyTorch).
• Experience with Large Language Models for document understanding (OpenAI, Azure OpenAI).
• Knowledge of Azure ML services and Cognitive Services.
• 2–5 years in ML engineering, NLP or financial data processing.

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.

Skills

Python (Pandas, NumPy, scikit-learn)

NLP libraries (spaCy, NLTK, transforms

Fuzzy matching algorithms

Document processing (OCR, PDF parsing,

ML model deployment (REST APIs, Docker

Supervised/unsupervised learning

Deep learning frameworks (TensorFlow,

LLMs for document understanding

Azure ML services/Cognitive Services

Finance/fintech domain (reconciliation

Education

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

Tools

Pandas

NumPy

scikit-learn

spaCy

NLTK

transformers

TensorFlow

PyTorch

OpenAI

Azure OpenAI

Docker

Azure ML

Azure Cognitive Services

OCR

PDF parsing

Excel extraction

Job description

Motorola Solutions seeks a Machine Learning Engineer with strong Python and NLP focus to join our team in Argentina, Buenos Aires. You will build models for document understanding, apply OCR/PDF parsing, and deploy REST APIs as Docker services in Azure ML.

You will work with Pandas, NumPy, scikit-learn, spaCy, NLTK, transformers, and large language models to improve reconciliation/fintech data processing. 2–5 years in ML/NLP required.