Description

Job Description:    
Skills: Digital : Microsoft Azure~Digital : Machine Learning~Digital : Google Data Engineering
Experience Required: 6-8

Role Descriptions:
Azure:
Collaborate with data scientists, data engineers, developers, and business stakeholders
Design and implement AI/ML solutions using Azure AI services such as:
Azure OpenAI
Azure Machine Learning
Azure Cognitive Services (Vision, Language, Speech, Decision)
Develop and deploy ML models using Python, R, or .NET
Build end-to-end ML pipelines including data ingestion, training, evaluation, deployment, and monitoring
Architect cloud-native AI solutions leveraging:
Azure ML Workspaces
Azure Functions
Azure App Services
Ensure scalability, resiliency, performance, and cost optimization
Implement Azure security best practices:
Managed identities
Key Vault
Role-Based Access Control (RBAC)
Support production issues and continuous improvement initiatives
Understanding on Cosmos DB

Technical Skills:
Azure:
Strong experience with Microsoft Azure
Expertise in Azure AI / ML services
Proficiency in Python (TensorFlow, PyTorch, Scikit-learn preferred)
Hands-on experience with REST APIs and microservices
Knowledge of SQL and NoSQL data stores (Azure SQL, Cosmos DB)
Azure AI Engineer Associate Certified (AI-102)

Good to Have:
Networking & Connectivity
Design and manage Azure networking components:
Virtual Networks (VNet), Subnets
Network Security Groups (NSG)
Azure Load Balancer, Application Gateway, Azure Front Door
Troubleshoot network performance and connectivity issues
Security, Identity & Compliance

Collaboration & Support:
Work closely with application teams, security teams, and architects
Provide L2/L3 production support for Azure environments
Participate in architecture reviews and cloud migration initiatives
Document architecture, procedures, and operational runbooks

Key Skills

Education

Any Graduate