NTT DATA · 1 day ago
Senior Lead AI-NLP Engineer
NTT DATA is a top 10 global services company and part of the NTT Group, a Fortune 29 telecommunications and services company based in Japan. They are currently seeking a Senior Lead AI-NLP Engineer to manage goals and expectations while designing and deploying NLP models and leading the development of conversational systems.
Application Performance ManagementCloud ManagementEnterprise SoftwareInformation Technology
Responsibilities
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
Qualification
Required
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
Must be able to work on-site in a hybrid model
Preferred
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
Company
NTT DATA
NTT Data specializes in SAP services for enterprises and offers IT consultation, application and cloud management, and SAP implementation.
H1B Sponsorship
NTT DATA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (144)
2024 (182)
2023 (257)
2022 (871)
2021 (809)
2020 (1266)
Funding
Current Stage
Late StageRecent News
2025-10-06
2025-10-06
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