Job Description: We are seeking an experienced Azure AI Expert with 4+ years of hands-on experience in developing, deploying, and optimizing AI solutions on Microsoft Azure. The ideal candidate will collaborate with cross-functional teams to build and implement AI models, machine learning pipelines, and cognitive services. You will be responsible for leveraging Azure AI tools and services to deliver scalable and high-performance solutions Key Responsibilities: Design, develop, and deploy AI and machine learning (ML) models using Azure Machine Learning (Azure ML). Build and manage end-to-end AI pipelines for data ingestion, transformation, and model deployment. Utilize Azure Cognitive Services (Computer Vision, Text Analytics, Speech, and Language APIs) to create intelligent applications. Implement Natural Language Processing (NLP) and Computer Vision solutions using Azure AI services. Develop and optimize data processing pipelines using Azure Data Factory, Databricks, or Synapse Analytics. Deploy and manage AI models on Azure Kubernetes Service (AKS) or Azure Container Instances. Use Azure AI Studio and Azure OpenAI Service to integrate generative AI capabilities. Perform model training, validation, and fine-tuning to improve accuracy and efficiency. Ensure security, scalability, and reliability of Azure AI solutions. Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver solutions. Monitor and troubleshoot model performance and production issues. Create and maintain technical documentation and best practices. Required Skills: 4+ years of hands-on experience in AI/ML model development using Azure AI services. Proficiency in Azure Machine Learning, Azure Cognitive Services, and Azure AI Studio. Strong programming skills in Python, R, or C# for AI model development. Experience with Azure Data Factory, Databricks, and Synapse Analytics for data processing. Familiarity with MLOps practices and CI/CD pipelines for model deployment. Hands-on experience with Azure Functions, Logic Apps, and Power Automate for AI integration. Experience with model deployment on Azure Kubernetes Service (AKS) or containerized environments. Strong understanding of data science, statistics, and machine learning algorithms. Experience with RESTful APIs and JSON for data exchange and model integration. Excellent problem-solving and debugging skills.
Perks & Benefits: Competitive salary package Career growth opportunities Comprehensive health insurance Hybrid work model Performance-based incentives Learning and development programs
