Senior Ml Ops Engineer - Remote Production Ml & Cloud Lead

Bluelightconsulting; Quilmes; Remote; ARS 53,009,000 - 90,873,000; Full time

Job summary

Bluelightconsulting seeks a Machine Learning Engineer focused on NLP to build document understanding models for fintech data. You will employ Python stacks and NLP libraries to enhance data processing, enable OCR-based extraction, and deploy REST APIs in Docker/Azure ML environments.

The role emphasizes supervised/unsupervised techniques and data pipeline design, with collaboration across product, data, and engineering teams to meet project goals.

Qualifications

• Master's degree in CS/DS or related field.
• 2–5 years of ML engineering experience, NLP focus.
• Finance/fintech domain experience preferred.
• Strong Python and NLP libraries experience.

Responsibilities

• Develop ML models for document understanding and processing.
• Use Python libraries (Pandas, NumPy, scikit-learn) for data tasks.
• Apply NLP with spaCy, NLTK, or transformers.
• Implement fuzzy matching for data accuracy.
• Process documents via OCR, PDF parsing, and Excel extraction.
• Deploy models as REST APIs using Docker and Azure ML.
• Use supervised and unsupervised learning approaches.
• Design and manage data pipelines and ETL processes.
• Collaborate with cross-functional teams to hit goals.

Skills

Python

NLP

Deep learning

Data pipelines

Model deployment

Education

Master’s degree in CS/DS

Tools

Pandas

NumPy

scikit-learn

spaCy

NLTK

transformers

OCR

PDF parsing

Excel extraction

Docker

Azure ML

TensorFlow

PyTorch

OpenAI

Azure OpenAI

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.