Senior Ml Ops Engineer - Cloud & Production Ml

Imachines; Quilmes; On-site; ARS 90,873,000 - 136,310,000; Full time

Job summary

Imachines seeks a Machine Learning Engineer focused on NLP to join our team. You will build models for document understanding, leveraging Python libraries and DL frameworks in a finance context.

Responsibilities include NLP techniques, OCR-based document processing, and deploying REST APIs via Docker and Azure ML, while collaborating across teams to achieve project milestones.

Qualifications

• 2–5 years of ML engineering experience focused on NLP or financial data processing.
• Strong Python expertise with Pandas, NumPy, and scikit-learn.
• Experience with NLP libraries such as spaCy, NLTK, and transformers.
• Experience deploying ML models as REST APIs using Docker and Azure ML.
• Familiarity with OCR, PDF parsing, and Excel data extraction.
• Knowledge of Azure Cognitive Services and DL frameworks is a plus.

Responsibilities

• Develop ML models for document understanding and processing.
• Apply NLP techniques and fuzzy matching for data accuracy.
• Process documents using OCR, PDF parsing, and Excel data extraction.
• Deploy ML models as REST APIs using Docker and Azure ML.
• Design and manage data pipelines and ETL processes.
• Collaborate with cross-functional teams to meet project goals.

Skills

Python

Pandas

NumPy

scikit-learn

NLP

spaCy

NLTK

Transformers

OCR

Azure ML

Docker

REST APIs

LLMs

Azure Cognitive Services

Education

Master's degree in CS/DS or related field

Tools

Docker

Azure ML

OCR tooling

Job description

Machine Learning Engineer

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.

We are committed to equal employment opportunity and do not discriminate on the basis of race, creed, color, religion, gender, sexual orientation, and other protected characteristics. We welcome applications from all qualified candidates.