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Artificial intelligence (NLP/NLU) Lead #208358
Company: Credit Suisse
Location: Raleigh, NC
Employment Type: Full Time
Date Posted: 08/20/2022
Expire Date: 09/26/2022
Job Categories: Architectural Services, Computers, Software, Construction, Mining and Trades, Engineering, Executive Management
Job Description
Artificial intelligence (NLP/NLU) Lead #208358


Applicant will drive the data design and training of Amelia’s NLU for specific projects, working with both internal teams, partners and clients, to deploy and optimize virtual agents across a wide variety of industries. You will agree with conversation designers, engineers, business analysts, and project leads. Conversational AI technologies benefit from skill diversity, curiosity, and a passion for learning just as much as credentials and work experience.

  • Architecture, Strategy, and overall optimization of NLP/NLU systems
  • Data analysis and data science
  • Intelligent Process Automation systems


Your future colleagues

The lead for the Cognitive Insights team is based in Raleigh and reports to the Head of Cognitive and Digital Services. You will work within a cross-functional, global, agile team that is passionate about solving internal customer inquiries through user experience focused automation. Acting as the Cognitive Insight Manager, you will manage customer-impacting projects, manage a cross-regional NLU and Data team, develop the technical strategy, and collaborate with multiple team leads to deliver a critical service to the bank. You will also interact with multiple technology SMEs and Architects to deliver against our multi-year strategy. We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values


Qualifications & Requirements

We are looking for applicants with an extensive NLU support and development for conversational AI platforms (chatbots and virtual assistants) along with an equivalent experience working on AI/ML projects, using the full potential of both as-a-service and custom AI/ML applications

  • An excellent analytical approach, to be able make sense of and coordinate unstructured information and data

  • Comfortable spending time managing, expanding and analyzing large language data sets, and interest in developing expertise in this

  • Ability to take a user-centric approach to what you do, to solve real user problems and account for all the ambiguity and noise that comes with open-ended conversations between humans and virtual agents

  • Willingness to learn and develop on the job, mentoring and evolving the team, as conversational AI is a rapidly evolving field

  • Build and/or use tools to automate data acquisition and aggregation, identifying ways to improve data reliability, efficiency, and quality

  • Dedication to fostering an inclusive culture and value varied perspectives.

Contact Information
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