This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a  AI/ML Engineering lead at JPMorgan Chase within the Business Banking , you will be responsible for applying advanced machine learning techniques to intricate task such as natural language processing, document screening and  define the pattern to be adopted by the team.

 

Job responsibilities

Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systemsChoosing, extending, and innovating ML strategies for various banking problemsProvides guidance to immediate team of software engineers on daily tasks and activitiesSets the overall guidance and expectations for team output, practices, and collaborationAnticipates dependencies with other teams to deliver products and applications in line with business requirementsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into productionLearning about and understanding our supported businesses in order to drive practical and successful solutions

 

Required qualifications, capabilities, and skills

Formal training or certification in Software Engineering concepts and 5+ years applied experience and hand-on industry experience in Machine Learning.Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extractionProficient in automation and continuous delivery methodsScientific thinking with the ability to invent and to work both independently and in highly collaborative team environmentsSolid written and spoken communication skillsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityExperience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

Hands-on experience with virtual assistant model development and optimizationFamiliarity with continuous integration models and unit test developmentExperience with A/B experimentation and data/metric-driven product development