AI Development Specialist (Azure)
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Lead the design build and deployment of production-grade AI solutions on Microsoft Azure. Own end-to-end deliveryfrom data pipelines to model deployment ensuring security reliability and compliance.
Responsibilities
- Design and implement AI solutions using Azure AI services (OpenAI AI Search Machine Learning).
- Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub.
- Containerize workloads and deploy to AKS App Service or Functions with CI/CD pipelines.
- Ensure observability performance tuning and cost optimization for AI workloads.
- Collaborate with cross-functional teams and document architecture runbooks and best practices.
Core Tech Stack
- Azure AI & ML: Azure OpenAI Service AI Studio AI Search Azure Machine Learning.
- Data & Integration: Data Lake Storage Synapse/Fabric Data Factory Event Hub API Management.
- Compute & Hosting: AKS Azure Functions App Service; IaC with Bicep/ARM/Terraform.
- DevOps/MLOps: Azure DevOps or GitHub Actions MLflow integration telemetry dashboards.
- Languages: Python (required) plus C#/.NET or TypeScript/Node; LangChain or Semantic Kernel preferred.
Required Experience
- 7 years in software/ML engineering with 3 years delivering production AI solutions on Azure.
- Proven track record of shipped solutions with architecture diagrams and runbooks.
- Expertise in RAG system design prompt engineering and performance optimization.
- Strong data engineering skills and secure integration patterns.
- Applied knowledge of Responsible AI principles and compliance requirements.
Core Competencies
- Outcome-oriented with strong problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Collaborative leadership and mentoring capability.
- Adaptability to ambiguity and incremental delivery approaches.
Nice-to-Have
- Experience with Microsoft Fabric and Databricks on Azure.
- Domain experience in financial services.
- Azure AI Engineer Associate certification or equivalent.
Qualifications
- Degree in Computer Science/Engineering/Math or equivalent industry experience
- Matric exemption
Required Skills:
Azure AKS fabric data lake AI machine c# devops
Required Education:
7 years in software/ML engineering with 3 years delivering production AI solutions on track record of shipped solutions with architecture diagrams and in RAG system design prompt engineering and performance data engineering skills and secure integration knowledge of Responsible AI principles and compliance requirements.
Company Industry
IT Services and IT Consulting
Key Skills
- Digital Marketing
- Bootstrap
- Activex
- Jboss
- Adobe
- Arbitration
