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Posted on 2025/12/20

Specialist Data/AI Engineering

AT&T

Los Angeles, CA, United States

Full-time

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • 2+ years of experience working with generative AI models
  • 3+ years of experience designing and implementing AI/ML solutions on Azure
  • Strong understanding of SQL and database administration best practices
  • Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.)

Responsibilities

  • This role involves working as a specialist in data and AI engineering, implementing generative AI solutions using machine learning and deep learning techniques
  • Designing and implementing generative AI models using GANs, VAEs, LLMs, etc
  • Deploying and managing AI models on Azure, leveraging Azure AI services, storage, and compute resources
  • Developing and maintaining RESTful APIs using FastAPI to serve AI models and integrate with web applications
  • Building and orchestrating AI agent workflows using LangChain and LangGraph for multi-step reasoning and automation
  • Working closely with data scientists, ML engineers, and product teams to translate business needs into reliable AI systems

Full Description

About the Role

This role involves working as a specialist in data and AI engineering, implementing generative AI solutions using machine learning and deep learning techniques.

Main Responsibilities

• Designing and implementing generative AI models using GANs, VAEs, LLMs, etc.

• Deploying and managing AI models on Azure, leveraging Azure AI services, storage, and compute resources.

• Developing and maintaining RESTful APIs using FastAPI to serve AI models and integrate with web applications.

• Building and orchestrating AI agent workflows using LangChain and LangGraph for multi-step reasoning and automation.

• Working closely with data scientists, ML engineers, and product teams to translate business needs into reliable AI systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• 2+ years of experience working with generative AI models.

• 3+ years of experience designing and implementing AI/ML solutions on Azure.

• Strong understanding of SQL and database administration best practices.

• Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.).

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