Remote Genai Ml Engineer: Mlops & Data Quality

Anyone AI Inc.; Quilmes; Remote; ARS 1.800.000 - 2.600.000; Vollzeit

Zusammenfassung

Anyone Ai Inc. in Argentina seeks a Machine Learning Engineer with Python and NLP focus to join our fintech team. You will build document understanding models, apply OCR, and deploy via REST APIs.

Ideal candidates have 2–5 years in ML/NLP, experience with Azure ML, spaCy, transformers, and data pipelines. Collaboration across teams is essential for project success.

Qualifikationen

• 2–5 years of ML engineering experience, focusing on NLP or financial data processing.
• Strong Python skills with Pandas, NumPy and scikit-learn.
• Experience with NLP libraries such as spaCy, NLTK, and transformers.
• Document processing skills including OCR, PDF parsing, and Excel extraction.
• ML model deployment via REST APIs, Docker, and Azure ML.
• Familiarity with LLMs for document understanding and Azure Cognitive Services.

Aufgaben

• Develop and implement ML models for document understanding and processing.
• Use Python data tools for manipulation and analysis.
• Apply NLP techniques using spaCy, NLTK, or transformers.
• Implement fuzzy matching for data accuracy.
• Process documents with OCR, PDF parsing, and Excel extraction.
• Deploy ML models as REST APIs using Docker and Azure ML.
• Collaborate with cross-functional teams to meet project goals.

Kenntnisse

Python

NLP

ML

Documentation

Team collaboration

Ausbildung

Master's degree in Computer Science

Tools

Pandas

NumPy

scikit-learn

spaCy

NLTK

transformers

OCR

PDF parsing

Excel extraction

REST APIs

Docker

Azure ML

TensorFlow

PyTorch

OpenAI

Azure OpenAI

Azure Cognitive Services

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