Description

You will lead the design and implementation of scalable, secure, and AI-integrated solutions on the Microsoft Azure platform.

Responsibilities

• Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
• Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
• Oversee cloud infrastructure modernization using Azure Kubernetes Service (AKS), Azure Functions, and microservices.
• Implement Azure security best practices, identity management, and role-based access controls (RBAC).
• Manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.

Required Skills

• 12–15 years of experience designing and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.
• Proficiency in C#, ASP.NET, MVC, JavaScript, jQuery, and Kendo.
• Hands-on experience with Azure Kubernetes Service (AKS), Azure Functions, and Logic Apps.
• Direct experience with Azure Machine Learning.
• Familiarity with AI/ML frameworks including Infer.NET and ML.NET.
• Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent.
• Strong analytical abilities for troubleshooting complex architectural issues.

Preferred Skills

• Exposure to Generative AI technologies and customizing LLM models.
• Experience with React or other modern JavaScript frameworks.
• Certifications: AI-102, DP-100, or Databricks ML Data Scientist.

Key Skills

Education

Any Graduate