Cloud AI Engineer Position

6 days ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Deeplight AI Full time
Overview

At Deeplight AI, we are dedicated to delivering cutting-edge AI solutions to our clients. Our team is passionate about harnessing the power of cloud technologies to drive innovation and success.


Job Description

We are seeking a highly skilled Senior Azure Platform Engineer to join our dynamic team. As an integral member of our engineering department, you will play a crucial role in designing, implementing, and maintaining our Azure cloud infrastructure with a focus on data processing and AI workloads.

Key Responsibilities:

  • Azure Infrastructure Management
  • Design, deploy, and maintain Azure infrastructure components such as Virtual Machines, Azure Storage, Azure SQL Database, and Virtual Networks with a focus on AI workloads.
  • Azure Automation and Orchestration
  • Implement and manage automation tools for provisioning, configuration, and orchestration of Azure resources (e.g., Azure Resource Manager templates, Terraform, Azure DevOps).
  • Azure AI Services Optimization
  • Configure and optimize Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning services for large-scale data processing and AI model training.
  • System Performance Monitoring and Troubleshooting
  • Monitor system performance, troubleshoot issues, and optimize resource utilization to ensure high availability and performance of AI workloads.
  • Azure Security and Compliance
  • Implement security best practices and compliance policies to safeguard sensitive data and AI models on the Azure platform.
  • Data Pipelines and Workflow Management
  • Design and implement data pipelines using Azure Data Factory and Azure Synapse Analytics for efficient data processing and model training.
  • Azure Kubernetes Service and Containerization
  • Set up and maintain Azure Kubernetes Service (AKS) clusters for containerized AI applications and MLOps workflows.
  • Collaboration and Knowledge Sharing
  • Collaborate with data scientists and ML engineers to optimize AI model deployment and serving infrastructure.
  • Stay updated on emerging Azure technologies and best practices in cloud-based AI solutions.


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