What are the responsibilities and job description for the NLP Engineer position at Gabriella White?
The NLP Engineer will help build and deploy NLP models and data pipelines that power smarter business tools. You’ll work closely with product owners, data engineers, and analysts to create scalable solutions that make information easier to find, understand, and use—turning raw data into insights that drive real impact.
Who We Are
Gabriella White is home to our family of brands - Gabby, Summer Classics, and Wendy Jane. We are growing in all areas of the business and are proud to be family-owned and operated since 1987. Together, we furnish life's best moments, from the every day to the exceptional. We are united by our vision as well as our collective spirit, and our culture is shaped by our core values: Dedication – Enthusiasm – Synergy – Integrity – Goal-Oriented – Nimble, or simply put DESIGN.
As a premier innovator, manufacturer, and retailer of luxury furniture and accessories, our brands are loved by designers and design-minded consumers for creating timeless outdoor living and transitional, eclectic furniture and accessories for every part of the home. We’re always looking for talented people to join our team and grow together.
What We Offer
Who We Are
Gabriella White is home to our family of brands - Gabby, Summer Classics, and Wendy Jane. We are growing in all areas of the business and are proud to be family-owned and operated since 1987. Together, we furnish life's best moments, from the every day to the exceptional. We are united by our vision as well as our collective spirit, and our culture is shaped by our core values: Dedication – Enthusiasm – Synergy – Integrity – Goal-Oriented – Nimble, or simply put DESIGN.
As a premier innovator, manufacturer, and retailer of luxury furniture and accessories, our brands are loved by designers and design-minded consumers for creating timeless outdoor living and transitional, eclectic furniture and accessories for every part of the home. We’re always looking for talented people to join our team and grow together.
What We Offer
- Comprehensive health, dental, and vision plans
- 401(k) with match after 12 months
- Employee Assistance Program and Chaplain Services for emotional and mental well-being
- Paid benefit time off, including sick, vacation, parental, and holidays
- Generous discounts on our exceptional products
- Designs, develops, and refines NLP models and AI-powered chatbots capable of interpreting and responding to natural language queries across structured and unstructured data.
- Contributes to dialogue design, intent recognition, and conversational flow improvements to enhance chatbot interactions and user experience.
- Integrates and supports NLP models withing business systems (e.g., CRM, ERP, internal knowledge bases) for intelligent data retrieval and semantic search capabilities.
- Collects, annotates, and preprocesses and cleans large-scale text datasets using Python and NLP libraries, ensuring high-quality input data for training and evaluation.
- Participates in data labeling, quality assurance, and model retraining to maintain and improve system performance.
- Evaluates NLP and chatbot performance using metrics such as accuracy, precision, recall, F1-score, and user satisfaction, assisting in model tuning and continuous improvement.
- Collaborates with software engineering teams to integrate and deploy NLP models into productions systems.
- Documents workflows, experiments, and results clearly and concisely.
- Collaborates cross-functionally with technical teams, stakeholders, and management to align NLP solutions with business objectives.
- Required: Bachelor's degree Computer Science, Data Science, Linguistics or a related field, master's degree in a related discipline preferred
- Proficient in Python and familiar with NLP libraries
- Solid understanding of machine learning fundamentals and experience with structured/unstructured data.
- Strong communication and problem-solving skills; ability to work under deadlines with guidance.
- 2-3 Years experience with REST APIs and deploying ML models.
- Exposure to deep learning frameworks
- Familiarity with Azure cloud platform.
- Knowledge of SQL, Airflow, Spark, or other data engineering tools is a plus.