GenAI Dev Lead

NTT America, Inc.; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

NTT DATA is looking for an AI/ML & Generative AI Engineer to join our Bangalore team. You will develop GenAI solutions, build scalable ML models, and work across cross-functional teams to deliver end-to-end AI pipelines.

The ideal candidate has deep experience in NLP, generative models, and cloud AI services such as Azure/OpenAI, Vertex AI, and AWS Bedrock. You will collaborate closely with clients, support POCs, and stay current with GenAI trends.

Qualifications

• 3+ years of Python and ML/data science packages experience.
• 2+ years delivering GenAI solutions, private AI or smart agent systems preferred.
• 5+ years in Predictive Analytics, ML/DL, Generative AI, Data Design or MLOps, etc.

Responsibilities

• Develop and implement AI/ML and Generative AI solutions across domains (prediction, recommendation, NLP, CV).
• Build and deploy ML models with TensorFlow, PyTorch, Keras, Scikit-learn.
• Apply NLP, GenAI techniques (GANs, transformers) and RAG approaches (LangChain, vector stores).
• Integrate and manage LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock).
• Develop scalable APIs with Flask, Django, DRF, or FastAPI.
• Collaborate across teams to design end-to-end AI pipelines, from data ingestion to deployment and monitoring.
• Support GenAI use cases, prototypes, and POCs tailored to industries.
• Maintain data infrastructure for large-scale datasets and provide clear communications to stakeholders.

Skills

Python

GenAI

NLP

Cloud AI

Tools

TensorFlow

PyTorch

Keras

Spacy

scikit-learn

LangChain

LlamaIndex

FAISS

Milvus

Hugging Face

OpenAI API

Vertex AI

AWS Bedrock

Flask

Django

DRF

FastAPI

Job description

Req ID: 383757

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,

We are currently seeking a GenAI Dev Lead to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

AI/ML & Generative AI Engineer

Job Summary

We are seeking a highly skilled and motivated AI/ML & Generative AI Engineer to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP, and Recommendation & Predictive Modelling. The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries.

Key Responsibilities

• Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.
• Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers.
• Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.
• Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).
• Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.
• Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.
• Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.
• Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets.
• Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
• Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.
• Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.
• Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.
• Contribute to the development of frameworks, capabilities, and features for NTT DATA’s global GenAI platform and TechHub.

Minimum Qualifications

• 3+ years of experience using Python and relevant packages for ML and data science.
• 2+ years of experience in delivering impactful GenAI solutions, preferably in Private AI and Smart Agentic Systems.
• 5+ years of experience in one or more of the following areas:
  • Predictive Analytics
  • Machine Learning and Deep Learning
  • Generative AI
  • Data Design
  • ML Ops / AI Infrastructure
• Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
• Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Soft Skills

• Strong problem-solving skills and critical thinking.
• Effective communicator capable of translating complex AI topics to stakeholders.
• Self-driven, collaborative, and adaptable to fast-paced environments.

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 one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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