AI Engineer

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Guild Mortgage

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1960

💸 Finanzen

🏠 Immobilien

Finance • Real Estate

Guild Mortgage ist ein in den USA ansässiger Hypothekengeber und Darlehensabwickler, der Verbrauchern und Geschäftspartnern eine breite Palette von Wohnfinanzierungsprodukten und -dienstleistungen bietet. Das Unternehmen offeriert Kauf- und Refinanzierungshypotheken, darunter konventionelle, FHA-, VA-, USDA-, Jumbo-, Renovierungs-, Bau-, Umkehrhypotheken, HELOCs sowie Spezialprogramme und Unterstützung bei der Anzahlung. Guild Mortgage ist landesweit durch lokale Niederlassungen und Kreditberater tätig, unterstützt Kreditnehmer mit Serviceleistungen und Online-Kontoverwaltung und arbeitet mit Bauträgern, Immobilienmaklern, Notariatsangestellten und Korrespondenten zusammen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• medical • dental • vision • life insurance • AD&D • LTD • 401(k) with employer match