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Azure AI Platform Engineer

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NTT DATA

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Location:
United States , Plano

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are currently seeking a Azure AI Platform Engineer to join our team in Plano, Texas (US-TX), United States (US).

Job Responsibility:

  • Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence
  • Apply statistical skills and advanced statistical techniques and concepts
  • Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn
  • Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc
  • Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models
  • Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
  • Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc
  • Display proficiency in programming languages such as Python and understanding of various Python packages
  • Experience with TensorFlow, PyTorch, or Keras
  • Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients
  • Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries
  • Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
  • Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights
  • Work closely with customers to understand their requirements and deliver customized AI solutions
  • Interact at appropriate levels to ensure client satisfaction and project success
  • Communicate complex technical concepts clearly to non-technical audiences
  • Conduct training sessions to enhance overall data science skills within the organization

Requirements:

  • 7+ years of experience with Azure architecture and Azure Kubernetes
  • 3+ years of experience with AI platform engineering, ModelOps
  • Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence
  • Apply statistical skills and advanced statistical techniques and concepts
  • Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn
  • Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc
  • Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models
  • Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
  • Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc
  • Display proficiency in programming languages such as Python and understanding of various Python packages
  • Experience with TensorFlow, PyTorch, or Keras
  • Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients
  • Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries
  • Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
  • Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights
  • Work closely with customers to understand their requirements and deliver customized AI solutions
  • Interact at appropriate levels to ensure client satisfaction and project success
  • Communicate complex technical concepts clearly to non-technical audiences
  • Conduct training sessions to enhance overall data science skills within the organization

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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