Description

You will design and implement AI/ML solutions on Microsoft Azure, collaborating with data scientists and developers to build end-to-end ML pipelines.

This role is on-site.

Responsibilities

• Architect cloud-native AI solutions using Azure AI services including Azure OpenAI, Machine Learning, and Cognitive Services.
• Develop and deploy ML models using Python, R, or .NET, ensuring scalability, resiliency, and cost optimization.
• Implement Azure security best practices, including Managed Identities, Key Vault, and RBAC.
• Support production issues, conduct architecture reviews, and document operational runbooks.
• Build end-to-end pipelines covering data ingestion, training, evaluation, deployment, and monitoring.

Required Skills

• 6+ years of experience with Microsoft Azure and AI/ML services.
• Proficiency in Python (TensorFlow, PyTorch, Scikit-learn), R, or .NET.
• Hands-on experience with REST APIs and microservices architecture.
• Knowledge of SQL and NoSQL data stores (Azure SQL, Cosmos DB).
• Azure AI Engineer Associate Certified (AI-102).
• Strong understanding of Azure networking components (VNet, NSG, Load Balancer).
• Experience with L2/L3 production support and cloud migration initiatives.

Preferred Skills

• Experience designing and managing Azure networking connectivity and troubleshooting.
• Familiarity with Azure Functions, App Services, and ML Workspaces.

Key Skills

Education

Any Graduate