Generative Ai Engineer

Logo of NTT DATA

NTT DATA

📍Remote - Mexico

Job highlights

Summary

Join NTT DATA as a Generative AI Engineer and lead the development of the IEDR Gen AI Tool Suite in the Azure environment. This 100% remote, near-shore or off-shore U.S. opportunity involves developing, evaluating, and refining AI solutions, focusing on generative AI assistants. You will be responsible for prompt development, user training, and collaborating with architects to optimize AI architecture. The role requires expertise in generative AI, machine learning programming, and cloud services. Experience with data processing and Python libraries is essential.

Requirements

  • Titulado o Pasante
  • Inglés intermedio avanzado
  • Conocimiento en Programación enfocada a Machine Learning
  • Conocimiento Basico de Python en librerias como Scikit-learn para modelos tradicionales (regresión, clasificación y clustering)
  • Conocimiento en overfitting, validación cruzada, y evaluación de metricas
  • Generative AI y conceptos RAG
  • Experiencia básica con Cloud services como AWS (S3, Bedrock, Textract) Azure para data storage, procesamiento y despliegues
  • Habilidades en limpiar, transformar y preparar datos, trabajando con volumenes grandes (CSV, JSON, databases) usando herramientas como Pandas y NumPy

Responsibilities

  • Lead the development of cutting-edge Generative AI solutions within the Azure platform, with a focus on improving efficiency and meeting user needs
  • Continuously evaluate the developed Generative AI solution and suggest improvements or adjustments to meet evolving needs and technology advancements
  • Create and refine AI prompts, ensuring they generate the best results for users interacting with the Generative AI assistants
  • Teach users the best practices for using the developed solution and creating effective prompts for optimal AI output
  • Review the existing Generative AI architecture, identify potential changes, and recommend cost and time-saving opportunities for improvements
  • Work closely with Data and Solution Architects to address technology and platform-related challenges, and drive innovation across the project
  • If required, support the development of user interfaces to facilitate smooth interaction with the developed Generative AI tools

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