Getnet

Getnet

Getnet is a global payment solutions provider and a subsidiary of PagoNxt, part of Santander's financial technology unit. Founded in 2003 in Porto Alegre, Brazil, Getnet has become the second-largest merchant acquirer in Latin America by transaction volume. The company operates in 35 countries, serving 1.3 million active merchants and processing €222 billion in total volume in 2024. Getnet focuses on secure and scalable payment processing, emphasizing innovation in digital payments, including e-commerce and mobile solutions. Getnet offers a wide range of payment processing tools, such as payment gateways, point-of-sale solutions, and e-commerce integration. Their services include real-time fraud management, customer analytics, and subscription billing. The Getnet Digital Platform and Getnet SEP provide unified payment solutions for various online platforms. The company supports a diverse clientele, including international companies, entrepreneurs, SMEs, and large merchants across retail, e-commerce, and services sectors. With over 6,200 payment experts and technological centers in multiple countries, Getnet is dedicated to enhancing payment experiences for businesses of all sizes.

financial services
5001-10000

Description

  • Design and implement solutions using generative AI and intelligent agents.
  • Develop automated workflows using LLMs, prompt engineering, and RAG.
  • Deploy AI models into production environments.
  • Manage the model lifecycle through MLOps practices.
  • Integrate AI solutions with enterprise platforms and systems.
  • Analyze large volumes of data to identify optimization opportunities.
  • Collaborate on projects involving machine learning, NLP, and computer vision.
  • Implement AI services in cloud environments such as AWS or Azure.

Requirements

  • Bachelor’s degree in Systems, Computer Science, Artificial Intelligence, or a related field.
  • Experience with generative AI.
  • Experience with Python.
  • Experience with LLMs.
  • Experience with prompt engineering.
  • Experience with RAG.
  • Experience with AI agents.
  • Experience with machine learning.
  • Experience with big data.
  • Experience with MLOps; MLflow is desirable.
  • Experience with cloud platforms such as AWS or Azure.
  • Experience with agile methodologies such as Scrum or SAFe.
  • Databricks experience is desirable.
  • NLP experience is desirable.
  • Computer vision experience is desirable.
  • Basic English reading skills for technical documentation.

Benefits

  • Participation in high-impact AI projects.
  • Work with cutting-edge technologies.
  • Continuous professional development.
  • Above-market statutory benefits.
  • Excellent work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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