Azure AI
3 days ago
8–12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.
• Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.
Hands-on programming in .NET/C# or Python (must-have).
• Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).
• Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.
• Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.
• Familiarity with data engineering pipelines and AI integration patterns.
• Knowledge of Responsible AI, security, compliance, and governance frameworks.
• Bonus: Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.
Education & Certifications:
• Bachelor's/Master's in Computer Science, IT, or related field.
• Preferred Certifications: o Microsoft Certified: Azure Solutions Architect Expert o Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate o Kubernetes CKA/CKAD, Terraform Associate
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