Position: Cognitive Linguist (NLP/NLU/ML/AI Engineer)
Location: Pennington, NJ (Hybrid: 3 days in office and 2 days remote)
Duration: 12-month contract (ext. up to 36 months)
Must-haves:
- Proven experience architecting and maintaining NLU intent frameworks
- Experience designing and curating datasets for machine learning pipelines
(Looking for strong AI/ML Engineers with large enterprise client experience)
Job Details:
The successful candidate will be responsible for architecting, developing, and maintaining machine learning models and NLU frameworks that identify end-user intent across a multi-channel Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions, optimizing model performance, and ensuring that the underlying intent-recognition architecture effectively supports web, mobile, and voice-based experiences.
Responsibilities:
- Architect and maintain the NLU intent framework across enterprise domains (e.g., Technology, Human Resources), ensuring alignment with conversational solution design patterns for web, mobile, and voice experiences
- Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and conversational AI performance optimization
- Develop and maintain model evaluation frameworks, telemetry pipelines, and observability tools to measure accuracy, reliability, and operational performance, enabling data-driven model tuning throughout the development lifecycle
- Design scalable disambiguation, fallback, and error-handling architectures that improve resilience and user experience as virtual assistant capabilities expand across domains and channels
- Analyze conversational telemetry, interaction flows, and runtime performance metrics to identify gaps, root causes, and optimization opportunities, implementing architectural improvements that enhance system effectiveness
- Partner with data scientists, product owners, UX researchers, and software engineers to design, build, and evolve the cognitive architecture and decisioning framework that powers the virtual assistant ecosystem
Requirements:
- Proven experience architecting and maintaining NLU intent frameworks
- Experience designing and curating datasets for machine learning pipelines
- Ability to develop model evaluation frameworks and telemetry pipelines
- Knowledge of designing scalable error-handling architectures for virtual assistants
- Experience with Microsoft Office, including Excel