Azure Ai Engineer Remote Jobs (NOW HIRING)

Job Summary:
NTT DATA North America is a trusted global innovator of business and technology services. They are seeking an Azure AI Platform Engineer to develop AI/ML applications and collaborate with cross-functional teams to deliver customized AI solutions.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
NTT DATA, Inc. is a trusted global innovator of business and technology services. Founded in 1988, the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.