Ingeniero Senior De Mlops Remoto: Ml En Producción

Hace 3 días

rosario, santa fe, Argentina Visa Hunt Jornada completa

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.

Buenos Aires, Buenos Aires, Argentina
Full time