Senior Lead AI-NLP Engineer

Singapore 1 days agoFull-time External
828.1k - 1m / yr
Location: Irving, TX Req ID: 356441 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. Senior Lead AI-NLP Engineer We are seeking a Senior Lead AI-NLP Engineer to join our team in Irving, Texas (US-TX), United States (US). Do you find yourself seeking the next big challenge? Step into a role where you are responsible for managing goals and expectations and contributing to the team’s success. Our Company NTT DATA Corporation is a top 10 global services company and part of the NTT Group, a Fortune 29 telecommunications and services company based in Japan. We operate with 60,000 professionals in 36 countries. We help clients respond to market dynamics with flexibility and speed, reduce costs with less risk, and increase productivity to enable growth. Day to Day job Duties • Design, build, and deploy NLP models for intent classification, NER, and sentiment analysis using both traditional methods (BiLSTM, TF-IDF) and modern frameworks. • Implement and optimize Large Language Models (LLMs) and Generative AI to improve dialogue management and agent capability. • Lead the development and optimization of conversational systems using Rasa NLU. • Drive end-to-end development from POC to production-ready systems, including deploying models via API. • Lead design reviews, define technical standards, and mentor junior engineers. • Establish evaluation frameworks to measure model quality, accuracy, and safety. Basic Qualifications • 7+ years of experience. • 5+ years of experience in Python (5–6+ years), including Object-Oriented Programming and writing clean, testable code. • 3+ years of hands-on experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe). • 2+ years of experience working with Rasa NLU and Rasa Core. Additional Qualifications • Experience with Hugging Face Transformers, LangChain, or LLM-based RAG (Retrieval-Augmented Generation). • Strong experience with ML frameworks: PyTorch or TensorFlow. • Experience in Cloud & DevOps: Docker, AWS/GCP, and CI/CD Pipeline. Must be able to work on-site in a hybrid model. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are a leading AI and digital infrastructure provider with capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. We work with clients and partners in over 50 countries and operate as a Global Top Employer. We also offer access to a robust ecosystem of innovation centers and established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Accessibility and EEO We hire locally when possible to NTT DATA offices or client sites. Remote or hybrid options may be available, subject to client requirements. In-office attendance may be required for meetings or events based on business needs. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are asked to provide payment or disclose banking information, please submit a contact us form at https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to all users. If you need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about application status. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. For Pay Transparency information, please click here.