Azure AI Platform Engineer Job at NTT DATA (Plano)

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

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Azure AI Platform Engineer

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