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AI Engineer

Guild Mortgage

$106,000 - $140,000
Dec 23, 2025
Remote, US
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Guild Mortgage Company is looking to develop and implement advanced artificial intelligence systems to provide affordable home financing for customers and enhance the functionality and user experience of various applications.

Requirements

  • Advanced knowledge and experience working with Python
  • Proficiency in other programming languages such as Java, R, or Scala.
  • Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or similar.
  • Strong understanding of algorithms and data structures.
  • Knowledge of AI principles and technologies, including neural networks, NLP, and computer vision.
  • Experience working with cloud cognitive services in Azure, AWS, Google, etc
  • Strong foundation in software development, data science, and data engineering

Responsibilities

  • Source relevant data from various channels, including databases, online sources, and internal systems, essential for training AI models.
  • Process raw data to make it suitable for use in machine learning, which includes cleaning, normalizing, and segmenting the data.
  • Create machine learning models using appropriate algorithms and techniques to solve specific business problems or enhance application capabilities.
  • Rigorously test AI models to ensure their accuracy, reliability, and robustness, and validate them against predefined metrics.
  • Seamlessly integrate AI models into existing software applications, employing API calls or embedded code for smooth functionality.
  • Continuously optimize AI systems for better speed, efficiency, and accuracy, ensuring they meet the required performance standards.
  • Identify and fix bugs or issues in AI models and their integration into applications, ensuring smooth operation.

Other

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Minimum of 3 years of experience
  • Travel: Infrequent based on company events and/or relevant conferences or training
  • Ability to prioritize multiple tasks in a deadline-driven environment, strong sense of urgency and responsiveness.
  • Excellent verbal and written communication skills plus demonstrate strong leadership capabilities.