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.
