AI ML Lead

As an Applied AI Machine Learning Lead within Consumer and community banking- Architecture and Engineering you will apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, and recommendation systems, collaborate with various teams, and actively participate in the knowledge sharing community. You must excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production. You must also have a strong passion for machine learning and invest independent time towards learning, researching, and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

 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
• Analyzing and evaluating the ongoing performance of developed models 
• 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

• MS with 7+ years, or PhD with 4+ years of hand-on industry experience in Machine Learning, preferably Deep 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
• Ability to design experiments — establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities, and skills

• 5 years of 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

 

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.