AI / Machine Learning Lead

US Bank
US Bank

Job Overview

U.S. Bank is looking for an Artificial Intelligence/Machine Learning (AI/ML) Program Technical Lead to join the fast-paced Innovation team, supporting some of the largest initiatives in our company. The AI/ML Program Technical Lead is a hands-on role that will oversee all of the technical aspects of delivery of Innovation’s transformative new AI/ML solutions, from ideation to delivery. The AI/ML Program Technical Lead will direct a team of AI/ML Directors and AI/ML Distinguished Engineers to develop and deliver AI/ML solutions that fundamentally transform the digital experience for both our employees and our customers.This role will work within the fast-paced Innovation team, which strives for excellence in all phases of execution and lifecycle management. The ideal candidate will have the right attitude and an imaginative mind set, is creative, and has extensive experience with AI/ML solution delivery within industry. The individual will be comfortable working in an innovation-focused environment – in particular, evaluating emerging trends and technologies to assess their feasibility and viability and functioning effectively in a fail-fast environment. The position relies on the individual to be a self-starter and a quick learner, to have a futurist mindset, and to be able to innovate and report on tasks and status proactively.Job Responsibilities:* Oversees the development of AI/ML solutions through the entire development lifecycle, e.g. rapid prototype, design, build, assemble, test, and pilot.* Provides technical leadership for a team of AI/ML Directors and AI/ML Distinguished Engineers to deliver AI/ML solutions across the enterprise.* Works closely with stakeholders across the enterprise to define and to understand technical requirements for AI/ML solution delivery and continuing development and integration.* Documents and implements corrective actions for all lessons learned from each exploration and accelerated incubation.* Collaborates with other organizations within the company to identify and flesh out new growth opportunities using AI/ML technologies.* Encourages new transformative thinking and trail blazing, and facilitates imagination and ideation sessions.* Maintains current knowledge of technology landscape and emerging developments.* Partners with various Product and Enterprise teams to optimize customer and user experiences.* Employs practical approach to data access and management and eventual platform integration of AI/ML solutions.Basic Qualifications:* Ph.D. in a STEM field (e.g., Physics, Mathematics, Computer Science, Operations Research, Statistics, or related quantitative/technical field) and at least 5 years of experience in AI/ML solution development and deployment.* Experience leading and supervising a highly technical group of AI/ML experts in an industry setting (banking/finance industry strongly preferred).* Experience with probability/statistical analyses and data modeling, e.g. Bayesian/Gaussian Distributions, Hidden Markov Models, k-nearest neighbor, etc.* Experience with programming and software design fundamentals, e.g. object oriented and functional design principles, best practices, etc.* Experience developing a broad range of AI/ML algorithms, e.g. NLP/Conversational AI, predictive modeling, deep learning, computer vision, etc.* Experience delivering and maintaining AI/ML solutions in production using Continuous Integration/Continuous Delivery (CI/CD) tools (e.g. Jenkins, Kubernetes, GitHub, JIRA/Bitbucket/Bamboo, Artifactory, DataDog) and best practices.* Experience with both relational and non-relational databases and data access methods, e.g. Postgres, MongoDB, SQL, NoSQL, RESTful API’s, GraphQL, etc.* Extensive experience with Python programming environment or equivalent (e.g. R, Scala) and related open-source technologies such as NumPy, SciPy, Pandas, BERT, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras, Deeplearning4j, etc.* Experience in developing within cloud-based environments (e.g. Google Cloud, Amazon Web Services, Microsoft Azure), with emphasis on GPU-enabled computing.* Experience delivering communications in a clear, concise, and compelling manner.* Willing to travel up to 25% of the time for business purposes.

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