Chatbot Conversational AI Engineer at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Conversational AI, Large Language Models, Prompt Engineering, NLP, NLU, Data Pipelines, Graph Databases, Python, JavaScript, R, TensorFlow, PyTorch, scikit-learn, Neo4j, Oracle, MongoDB

Industry

IT Services and IT Consulting

Description

Develop and implement conversational AI solutions: Design, build, and deploy chatbots and virtual assistants for banking use cases. Leverage LLMs and RAG: Utilize and fine-tune large language models (LLMs) and implement Retrieval-Augmented Generation(RAG) to enhance the accuracy and relevance of AI responses by incorporating domain-specific knowledge and real-time data. Design and execute Prompt Engineering strategies: Craft and optimize prompts for LLMs to elicit desired responses and ensure effective communication with users. Build and maintain robust data pipelines: Develop and manage data pipelines for training and deploying AI models, potentially using Graph Databases (Neo4j) to represent complex relationships within financial data (e.g., fraud rings, customer behavior). Implement NLP and NLU models: Develop and integrate NLP and NLU components for intent recognition, entity extraction, and sentiment analysis to understand user queries effectively. Ensure security and compliance: Implement strict security protocols and develop Guardrails to prevent misuse of AI systems and ensure compliance with banking regulations. Full-Stack Development: Contribute to both front-end and back-end development of conversational AI interfaces, ensuring a seamless user experience. Collaborate with cross-functional teams: Work closely with product managers, designers, and other engineers to deliver successful conversational AI solutions. Stay updated on latest trends: Keep abreast of the latest advancements in AI, machine learning 5+ years of experience in AI, ML, Data Science. 2+ years of experience in LLMs, Gen AI, Prompt Engineering, etc. Bachelor's degree in computer science, Linguistics, Computational Linguistics, AI, Machine Learning, Data Science, or a related field, or equivalent experience. Proficiency in programming languages: Python, JavaScript, R. Experience with NLP frameworks: spaCy, NLTK, BERT, GPT-based models. Experience in developing and deploying conversational AIsolutions, preferably in the banking or financial services sector. Strong proficiency in Python programming and related libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with Large Language Models (LLMs), Prompt Engineering, and RAG implementation. Hands-on experience with Graph Databases like Neo4j, including understanding graph data modeling and querying. Experience with relational databases (Oracle) and NoSQL databases (MongoDB). Understanding NLP and NLU concepts and techniques. Knowledge of security best practices, including the implementation of Guardrails. Experience in full-stack development, including front-end (e.g., React, Angular) and back-end (e.g., Fast API, .NET Core) technologies. 5+ years of experience in AI, ML, Data Science. 2+ years of experience in LLMs, Gen AI, Prompt Engineering, etc. Bachelor's degree in computer science, Linguistics, Computational Linguistics, AI, Machine Learning, Data Science, or a related field, or equivalent experience. Proficiency in programming languages: Python, JavaScript, R.

Responsibilities

Develop and implement conversational AI solutions for banking use cases, including designing, building, and deploying chatbots and virtual assistants. Collaborate with cross-functional teams to ensure effective communication and enhance AI responses using LLMs and RAG.