Sr. Associate, Conversational NLU

Key Skills

Aartificial intelligence, Data Analysis, Design, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, Streaming APIs

Job Description

This role will be key in building a robust foundation for the taxonomy for the Conversational AI models for the Chase Digital Assistant product. The role collaborates with product owners both within and outside of the team, designers, engineering leads and data analytics experts.

This position requires the ability to come up to speed quickly on Chase architecture for Conversational AI platform. Experience working with Natural Language Platforms, Linguistics and Machine learning technologies is required for this position. Excellent written and oral communication skills, strong interpersonal skills, and a passion for NLU space. 

Job Responsibilities:

• Ownership of taxonomy and annotation process for CDA, search and potential others
• Support design and development of conversational solutions using Rasa
• Support the training of intent models and entity extraction models and collaborate to create conversational dialog flows using tools and APIs provided by the AI platform
• Analyze full customer conversation for intent/entity categorization and data driven NLU design
• Lead discussions to translate high-level business requirements into specific technical requirements and produce and communicate solution designs to the development team
• Actively work with development teams during design and playback sessions to refine the solution design and any identify improvements
• Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities. This includes advancements in conversational AI, understanding of vendor roadmaps, and identification of new capabilities that are released

Required qualifications, capabilities & skills

• A Bachelor’s degree in computer science, computational linguistics, human computer interaction, user interface design, or other related technical or quantitative field from an accredited college or university
• 5+ years of overall experience with a minimum and knowledge of conversational AI
• Knowledge of conversational dialog systems, machine learning, and cloud computing
• Solid understanding of machine learning & natural language processing (NLP) fundamentals
• Experience working with data analysis for intent/entity categorization and data driven conversation design

ABOUT US

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the “WELL Health-Safety Rating” for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.