NLU Engineer – Conversational AI & NLP

About the Role

We are seeking an NLU Engineer to design, develop, and optimize conversational AI systems. You will be responsible for intent recognition, entity extraction, and dialogue management to enhance AI-driven user interactions.

Responsibilities

• Develop and optimize NLU pipelines using frameworks like Rasa, spaCy, or Hugging Face Transformers.
• Implement and fine-tune text classification, named entity recognition (NER), and semantic parsing models.
• Train and deploy language models (LLMs) tailored for specific domains.
• Enhance multilingual NLU capabilities by integrating diverse language datasets.
• Preprocess and analyze large-scale textual datasets to improve model accuracy.
• Conduct A / B testing and model evaluation using metrics like F1-score, accuracy, and perplexity.
• Deploy NLU models into production environments using cloud-based AI services like AWS, Azure, or Google Cloud.
• Develop and maintain NLU training datasets and oversee continuous model retraining.

Requirements

Preferred Qualifications

About Eltropy

Eltropy is a rocket ship FinTech on a mission to disrupt the way people access financial services. Eltropy enables financial institutions to digitally engage in a secure and compliant way. Using our world-class digital communications platform, community financial institutions can improve operations, engagement, and productivity. CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing, and chatbot technology, all integrated into a single platform bolstered by AI, skill-based routing, and other contact center capabilities.

Eltropy Values

Eltropy is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.