Senior Ml Ops Engineer - Cloud Reliability (Remote)

T2S - Group International . Your Partner In Executive Search; Buenos Aires; Remote; ARS 90.873.000 - 136.310.000; Vollzeit

Zusammenfassung

T2S - Group International . Your Partner In Executive Search is seeking a Machine Learning Engineer focused on NLP and Python to advance document understanding in the finance/fintech space.

You will build ML models, apply NLP, and deploy REST APIs via Docker and Azure ML, contributing to reconciliations and accounting workflows in a fintech context.

Qualifikationen

• Master’s degree required in CS/Data Science or related field.
• Strong Python and NLP experience for document processing.
• Experience with OCR, PDF parsing, and data extraction.
• Deployment of ML models as REST APIs using Docker and Azure ML.
• Familiarity with LLMs and Azure Cognitive Services.

Aufgaben

• Develop and implement ML 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 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.

Kenntnisse

Python (Pandas, NumPy, scikit-learn)

NLP libraries (spaCy, NLTK,Transforme)

Fuzzy matching

OCR/PDF/Excel extraction

ML deployment (REST APIs, Docker,Azure

Supervised/unsupervised learning

Deep learning (TensorFlow, PyTorch)

LLMs for document understanding (OpenA

Azure ML services

Financial data processing (reconcilia)

Finance domain experience

Ausbildung

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

Tools

Azure ML

spaCy

NLTK

transformers

OCR tools

PDF parsing

Excel extraction

Docker

REST APIs

TensorFlow

PyTorch

OpenAI

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.