About this opportunity
Neshent Technologies lists this Cognitive Linguist / Conversational AI Specialist opportunity in Summit Argo, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Summary
The Cognitive Linguist / Conversational AI Specialist will be responsible for designing, developing, and maintaining Natural Language Understanding (NLU) and machine learning models that identify end-user intent for a multichannel Virtual Assistant. The role requires strong expertise in conversational interfaces, NLP, intent modeling, and conversational AI, with a focus on delivering accurate and engaging user experiences across multiple business domains.
Required Technical / Functional Skills
Strong experience with Natural Language Processing (NLP) and Natural Language Understanding (NLU).
Experience designing and implementing conversational AI and Virtual Assistant solutions.
Hands-on experience with intent classification, entity recognition, utterance modeling, and conversation flows.
Experience building, training, evaluating, and maintaining machine learning/NLU models.
Strong understanding of conversational interfaces and user interaction patterns.
Experience working with multichannel conversational platforms.
Ability to analyze conversational data and improve intent recognition and model performance.
Key Skills and Experience
Experience working as a Cognitive Linguist, Conversational AI Specialist, NLP Specialist, or NLU Analyst.
Strong understanding of linguistics, semantics, syntax, and conversational language patterns.
Experience developing and maintaining intent portfolios across multiple business domains.
Ability to create and optimize training utterances, intents, entities, and conversation models.
Experience with NLU model testing, validation, tuning, and performance analysis.
Familiarity with conversational analytics and identifying opportunities to improve Virtual Assistant performance.
Experience collaborating with product owners, business analysts, developers, data scientists, and other technical stakeholders.
Roles and Responsibilities
Understand and manage the NLU intent portfolio across multiple business domains, such as Technology, Human Resources, and other enterprise functions.
Define, document, and maintain intents, entities, training phrases, and conversational flows.
Analyze end-user utterances to identify new intents, variations, and potential gaps in the existing NLU model.
Build, train, test, and continuously improve machine learning/NLU models for intent classification.
Develop linguistic rules and training data to improve intent recognition and entity extraction.
Monitor model performance and conduct regular tuning and optimization.
Collaborate with business and technical teams to translate business requirements into conversational experiences.
Perform conversation analysis and identify opportunities to improve accuracy, usability, and user experience.
Support the ongoing maintenance and enhancement of the Virtual Assistant across multiple channels.
Establish and maintain standards for NLU modeling, annotation, testing, and quality assurance.
Document intent definitions, model changes, linguistic decisions, and testing results.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.