Co-pilot developer- Azure AI

Abu Dhabi, United Arab Emirates

Atribs Metscon Group

Founded in the bustling metropolis of Dubai in 2004, Atribs Metscon Group stands as a beacon of innovation and excellence in the realm of technology and business solutions. For over two decades, we have been dedicated to empowering enterprises...

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  • Develop and deploy AI-based solutions using Microsoft Azure Cognitive Services, including Language Understanding, Text Analytics, and Machine Learning.
  • Collaborate with the product and design teams to integrate AI-based co-pilot functionalities into user-facing applications.
  • Design and optimize machine learning models to process large volumes of data and provide intelligent insights and recommendations.
  • Implement natural language processing (NLP) techniques for conversational AI, chatbots, or virtual assistants that can act as co-pilots for users.
  • Utilize Azure OpenAI services to build, fine-tune, and deploy models for automated responses, suggestions, and decision-making support.
  • Integrate AI models into cloud-based platforms and ensure scalable deployment using
  • Azure Machine Learning and Azure Kubernetes Service (AKS).
  • Collaborate with the DevOps team to ensure continuous integration and deployment of AI models, leveraging Azure DevOps tools.
  • Monitor and improve the performance of AI models by tuning hyperparameters, re-training models, and improving accuracy based on user feedback and data trends.
  • Keep up with the latest advancements in Azure AI, machine learning, and AI co-pilot technologies, applying these to real-world projects.
  • Troubleshoot and resolve any issues related to AI model deployment, API integration, or performance bottlenecks.
  • Document processes, model architectures, and deployment configurations to ensure that knowledge is shared across the team.
  • Strong understanding of machine learning, NLP, and data analytics techniques.
  • Proficiency in programming languages such as Python, C#, or Java, particularly in the context of AI development.
  • Hands-on experience with cloud computing and deployment technologies, especially in Microsoft Azure.
  • Familiarity with REST APIs, data pipelines, and model deployment workflows.
  • Experience working with AI tools such as Azure Bot Service, Azure Cognitive Search, and Azure Synapse Analytics.


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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Job stats:  3  1  0

    Tags: APIs Architecture Azure Chatbots Conversational AI Data Analytics Data pipelines DevOps Java Kubernetes Machine Learning ML models Model deployment NLP OpenAI Pipelines Python

    Perks/benefits: Career development

    Region: Middle East

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