GenAI Sr. Developer

NTT DATA, Inc.; Butlerville (IN); Remote; USD 19,000 - 32,000; Full time

Job summary

NTT DATA is seeking a GenAI Sr. Developer to join our remote team in India. You will develop and deploy AI/ML and Generative AI solutions across multiple domains, leveraging frameworks like TensorFlow, PyTorch, and scikit-learn.

The role emphasizes building end-to-end AI pipelines, working with RAG techniques, and collaborating with cross-functional teams to deliver client value. You will apply deep knowledge of statistics, ML, NLP, and generative models, maintain awareness of trends in GenAI

Qualifications

• Masters in AI from a reputed College / University.
• 8+ years demonstrated using Python and relevant packages for ML and data science in multiple real projects.
• 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks.
• 2+ years deep knowledge in: Predictive Analytics, Machine Learning and Deep Learning, Generative AI, Agentic systems, ML Ops / AI Infrastructure.
• 2+ years strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
• 2+ years hands‑on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Responsibilities

• Develop, and implement AI/ML and Generative AI solutions across various domains.
• Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Apply statistics, ML, NLP, and generative models including GANs and transformers.
• Work with Retrieval-Augmented Generation techniques.
• Collaborate with cross-functional teams to design end-to-end AI pipelines.
• Support GenAI use cases, prototypes, and POCs tailored to industry needs.
• Communicate technical concepts to both technical and non-technical stakeholders.
• Engage with clients to understand business needs and deliver customized AI/ML solutions.
• Stay current with trends in AI, GenAI, LLMs.

Skills

Python

GenAI

LLMs

ML Ops

Agentic systems

Education

Masters in AI

Tools

TensorFlow

PyTorch

Keras

Spacy

scikit-learn

Job description

Req ID: 388857

NTT DATA strides 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 Sr. Developer to join our team in Remote, Karnātaka (IN-KA), India (IN).

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.
• 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.
• 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.
• 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

• Masters in AI from a reputed College / University
• 8+ years demonstrated using Python and relevant packages for ML and data science in multiple real projects that is not limited to their own personal development environment.
• 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks.
• 2+ years deep knowledge in all of the following areas:
  • 2+ years Predictive Analytics
  • 2+ years Machine Learning and Deep Learning
  • 2+ years Generative AI
  • 2+ years Agentic systems
  • 2+ years ML Ops / AI Infrastructure
• 2+ years strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
• 2+ years 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.

NTT DATA endeavors to make 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 .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 .