and orchestration tools like Kubernetes (AKS) is often required, along with scripting skills in PowerShell or Python. A solid understanding of security best practices, monitoring solutions (e.g., Azure Monitor, LogAnalytics or Datadog), networking fundamentals is also essential. Certifications Ideally you will have some Microsoft certification such as the following. - AZ900 - AZ104 These are not mandatory at application More ❯
of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid … requires deep platform knowledge - especially across Azure security, identity and networking (e.g., IAMs, Private Endpoints), resource management (e.g., Storage Accounts, Azure Key Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least … DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and More ❯
