Senior Ml Ops Engineer - Cloud Reliability (Remote)

T2S - Group International . Your Partner In Executive Search; Quilmes; Remote; ARS 1,800,000 - 2,600,000; Full time

Job summary

T2S - Group International. Your Partner In Executive Search is seeking a Machine Learning Engineer with strong Python expertise and a focus on NLP to join our team. You will work on document understanding in the finance/fintech domain, developing and deploying models, and collaborating across functions.

Ideal candidates have experience with ML deployment, OCR, and large language models, plus familiarity with Azure ML and REST API development. Master’s degree required.

Qualifications

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

Responsibilities

• Develop and implement machine learning models for document understanding and processing.
• Utilize Python libraries for data manipulation and analysis.
• Apply NLP techniques using spaCy, NLTK, or transformers.
• Implement fuzzy matching algorithms for data accuracy.
• Process documents using OCR, PDF parsing, and Excel data extraction methods.
• Deploy ML 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

TensorFlow

PyTorch

LLMs

OpenAI

Azure OpenAI

OCR

PDF parsing

Education

Master’s degree in Computer Science or Data Science

Tools

Docker

Azure ML

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.

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.