AI Engineering Manager for Global Payments

hace 6 días


Bogotá, Bogotá D.E., Colombia MasterCard A tiempo completo

At Mastercard, we're looking for a skilled AI Engineering Manager to join our team and support the delivery of machine learning models that protect the global payments ecosystem against fraud. This role involves designing monitoring strategies for offline AI models deployed in production, ensuring swift reaction to any issues.

Key Responsibilities:
  • Designing the monitoring strategy of offline AI models deployed in production
  • Supporting model refreshes to ensure models are deployed correctly in production
  • Creating deployment reports for key stakeholders and customers
  • Assisting in the deployment of scalable tools and services to handle machine learning training and inference in production
  • Evaluating new technologies to improve performance, maintainability, and reliability of our machine learning systems
  • Communicating with stakeholders to build requirements and track progress against issues that may arise

We require a strong proficiency with open-source tools, containerization, and orchestration platforms, along with experience in data versioning and model management tools. Exposure to machine learning methodologies, best practices, modeling approaches, and frameworks is essential. Hands-on experience with machine learning frameworks and libraries such as Scikit-learn (Sklearn), Pandas, Numpy, XGBoost, LightGBM, CatBoost, and deep learning frameworks (PyTorch, TensorFlow) is also necessary.



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