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# Python Gen AI Developer

- **Company:** NTT DATA, Inc.
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Salary:** $104,000.0 - $118,560.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Django Web Framework, Python (Programming Language), Machine Learning, MongoDB, Neo4j, NumPy, Scrum Methodology, Tensorflow, Web Application Frameworks, Google Cloud, Pytorch, Flask (Web Framework), Large Language Models, Data Representation, Generative AI, Fastapi, Pandas, Scikit Learn, Variational Autoencoders, Machine Learning Operations, Software Library, Microservices
- **Published:** July 24, 2026
- **Apply:** https://www.juju.com/job/00000000gj39cd

## About the Role

Overall 5+ years of experience.

3+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)

2+ Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles

Experience on any of the Python web development frameworks (FastAPI, Flask, Django)

Strong experience in using Neo4J, Mongo DB

Experience in working as part of scrum team with knowledge of related ceremonies.

Strong communication skills.

Understanding and experience on Gen AI implementations

Experience on Langchain, Vector DB, Embeddings or related frameworks

Experience on AI/ML model implementations using scikit learn, Tensor flow etc.,

Experience with Chat, IVR, Banking will be plus

Google Cloud (GCP) knowledge

## Description

NTT DATA's Client is seeking a Python Gen AI Developer to design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs)

Research and implement machine learning algorithms and tools

Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP).

Manage and direct research and development processes to meet the needs of our AI strategy

Develop machine learning applications in alignment with project requirements and business goals

Perform machine learning tests and statistical analysis to fine-tune the machine learning systems

Select appropriate datasets and data representation methods

Extend existing machine learning libraries and frameworks

Train systems and retrain as necessary

Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions


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