AI Engineer

Guild Mortgage Company is a mortgage banking firm dedicated to serving homeowners and buyers. The AI Engineer is responsible for developing and implementing advanced artificial intelligence systems, including designing algorithms, managing datasets, and integrating AI models into applications.

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
• Keep abreast of the latest advancements in AI, machine learning, and related technologies to incorporate cutting-edge solutions
• Work alongside other professionals, including AI Engineers, data scientists, software developers, and project managers, to achieve cohesive project goals
• Create detailed documentation for AI systems and their architectures, aiding in maintenance, updates, and knowledge transfer
• Utilize AI to improve the user interface and experience of applications, making them more intuitive and responsive
• Adhere to ethical guidelines and standards in AI development, ensuring fairness, privacy, and transparency
• Conduct in-depth analysis of AI systems' performance, identifying areas for improvement and optimization
• Utilize cloud computing platforms for efficient AI model development, testing, and deployment
• Incorporate user and stakeholder feedback into AI system development to continuously improve its effectiveness and usability
• Serve as a bridge between technical and non-technical teams, facilitating the integration of AI into various business processes and ensuring alignment with business objectives
• Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to assist with their AI-related technical issues
• Contribute to the team of AI professionals by using expertise to answer questions and sharing repeatable design patterns with less experienced teammates, enhancing skillsets and competencies of team members, and sharing technical knowledge throughout the team
• Participate in stakeholder reviews and design sessions
• Provide data, reports, and information to management as needed
• Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers, and staff
• Perform other duties as assigned

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
• Minimum of 4 years of experience
• 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
• Problem solver with an ability to work as a team towards a solution
• Ability to prioritize multiple tasks in a deadline-driven environment, strong sense of urgency and responsiveness
• Strong detail orientation and highly organized with proven ability to lead effectively and drive results in a matrixed management environment
• Ability to think critically, including the ability to evaluate facts and data to draw conclusions, determine the downstream impact of decisions and associated risks
• Excellent verbal and written communication skills plus demonstrate strong leadership capabilities
• Strong interpersonal and team building skills
• Self-starter with the demonstrated ability to learn/adapt to new technologies and techniques