GenAI Sr. Developer

NTT DATA, Inc.
United States
8 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Cloud Engineering Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems Tensorflow AI Infrastructure Chatbots
+13 more
Data Ingestion Pytorch Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Generative AI Keras Build Management AI Platforms Scikit Learn Machine Learning Operations Text Analysis Spacy

Job description

  • 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.

Requirements

  • 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 the company

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 provides broad range of IT services and solutions, including consulting, systems integration, and IT outsourcing.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · World Congress 2026 Europe

1:18 min

Converting existing Keras models to TensorFlow format

Håkan Silfvernagel · LIVE

3:29 min

Binary and count vectorization techniques for text

Jodie Burchell · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:20 min

Speeding up model training cycles with transfer learning techniques

Anirudh Koul · LIVE

2:47 min

Building cost-effective entity extraction pipelines for unstructured data

William Lyon · Coffee With Developers

Videos

See all

Related articles

See all