Chase is seeking a Senior Machine Learning Engineer within Banking & Wealth Management, Consumer & Community Banking Home Lending Technology. This on-site role in Plano, Texas, United States, focuses on designing, building, and maintaining our AIOps solution and generative AI initiatives. The candidate should possess deep expertise in AI/ML technologies, IT infrastructure, and platform engineering. Responsibilities include leading the design, development, and deployment of generative AI solutions aligned with business objectives; evaluating new methodologies, building proofs of concept, and ensuring secure, production-quality code. Proficiency in Java or Python is required, with experience in React or Angular to create intuitive interfaces for AI applications. The role also involves leveraging AWS to implement best practices for AI integration, identifying automation opportunities, and contributing to communities of practice to promote adoption of new AI technologies. Requirements include 5+ years in Python or Java, 2+ years in generative AI development and prompt engineering, system design, testing, and operational stability in AI projects; 5+ years with React or Angular and 2+ years AWS; familiarity with CI/CD, application resiliency, and security in AI projects; experience with LLM models and agentic tools. Preferred: AI model optimization, data engineering for AI training and deployment, knowledge of ML algorithms including supervised, unsupervised, reinforcement learning, with experience in TensorFlow, PyTorch, Scikit-learn, and Keras. Chase offers a competitive total

Chase is seeking a Senior Machine Learning Engineer within Banking & Wealth Management, Consumer & Community Banking Home Lending Technology. This on-site role in Plano, Texas, United States, focuses on designing, building, and maintaining our AIOps solution and generative AI initiatives. The candidate should possess deep expertise in AI/ML technologies, IT infrastructure, and platform engineering. Responsibilities include leading the design, development, and deployment of generative AI solutions aligned with business objectives; evaluating new methodologies, building proofs of concept, and ensuring secure, production-quality code. Proficiency in Java or Python is required, with experience in React or Angular to create intuitive interfaces for AI applications. The role also involves leveraging AWS to implement best practices for AI integration, identifying automation opportunities, and contributing to communities of practice to promote adoption of new AI technologies. Requirements include 5+ years in Python or Java, 2+ years in generative AI development and prompt engineering, system design, testing, and operational stability in AI projects; 5+ years with React or Angular and 2+ years AWS; familiarity with CI/CD, application resiliency, and security in AI projects; experience with LLM models and agentic tools. Preferred: AI model optimization, data engineering for AI training and deployment, knowledge of ML algorithms including supervised, unsupervised, reinforcement learning, with experience in TensorFlow, PyTorch, Scikit-learn, and Keras. Chase offers a competitive total