Company Overview: 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. We are currently seeking a Senior Lead AI-NLP Engineer to join our team in Irving, Texas (US-TX), United States (US). **Job Description:** **Job Description – Senior Lead AI-NLP Engineer** Do you find yourself seeking the next big challenge? Step into a role where you are responsible for managing to goals and expectations; one where you are able to see the finish line – and truly be part of the broad team's success in reaching it! 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. Every day around the world we help clients explore new ways to 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 overall + 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 in Rasa NLU and Rasa Core. + Additional Qualifications: + Experience with Hugging Face Transformers, LangChain, or LLM-based RAG (Retrieval-Augmented Generation). + Strong experience in 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 trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or 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 the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment 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. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.