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
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 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
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 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
Preferred qualifications, capabilities, and skills
- 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
