Applied AI/ML Manager of Software Engineering

JPMorgan Chase & Co.•New York, NY

14h•$152,000 - $215,000

About The Position

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 Manager of AI/ML Engineering team at JPMorgan Chase within the Business Banking, you lead our dynamic teams and will be responsible for applying advanced machine learning techniques to intricate task such as natural language processing, document screening and manage day-to-day implementation activities by identifying and escalating issues.

Requirements

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 extraction
Experience leading technology projects
Experience managing technologists
Proficient in automation and continuous delivery methods
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Solid written and spoken communication skills
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Nice To Haves

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

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 systems
Choosing, extending, and innovating ML strategies for various banking problems
Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Anticipates dependencies with other teams to deliver products and applications in line with business requirements
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
Learning about and understanding our supported businesses in order to drive practical and successful solutions