EET EDMS Cognitive Linguist

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Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

EET EEDS Senior Language Engineer will be responsible for building and maintaining machine learning models to identify end user intent for a multi-channel Virtual Assistant.

Key Responsibilities:

• Understand the intent portfolio for NLU across domains (e.g., technology, human resources) and how it maps to conversation design for web, mobile, and voice channels.
• Identify and build appropriate datasets to train and test machine learning models for intent classification and speech recognition.
• Develop tools and telemetry that can measure/monitor accuracy and performance and update the models accordingly throughout development lifecycle.
• Develop disambiguating and error handling strategies as the virtual assistant scales.
• Monitor conversations in the application to identify underperforming content and develop solutions to improve the performance.
• Collaborate with data scientists, product owners, UX researchers, and engineers to build out the “brain” of the virtual assistant.

Required Qualifications:

• Experience with conversational interfaces and natural language processing.

• Experience training machine learning algorithms for data classification and/or speech recognition.

• Experience improving intent recognition of a data classification model.

• Experience with python.

• Unique skillset in computational linguistics and technical experience.

• Familiarity with LLMs.

• Familiarity with using version control technologies such as git, svn, or JIRA.

• Experience in DevOps and Agile methodology.

• Strong analytical and troubleshooting skills.

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week:

40