AI Platform Engineer

Job summary

The AI/ML Engineer role focuses on designing, building, and operationalizing a central AI Platform on Microsoft Azure, enhancing AI and Machine Learning capabilities. Key responsibilities include implementing scalable Azure Databricks Serverless environments, developing CI/CD pipelines in Azure DevOps, and ensuring the reliability and optimization of AI workloads while collaborating with Data Science and DevOps teams.

Qualifications

• Proven experience designing and deploying AI/ML and data engineering solutions on Azure
• Deep understanding of Azure Databricks architecture, including serverless compute capabilities
• Hands-on experience with serverless technologies such as Azure Functions, Event Grid, and Logic Apps
• Proficiency in Python, PySpark, and SQL for data engineering and model integration
• Strong knowledge of CI/CD, MLOps, and Infrastructure-as-Code using Azure DevOps and Terraform
• Solid understanding of cloud cost management, scaling strategies, and workload optimization
• Familiarity with enterprise security, data protection, and compliance requirements for AI workloads
• Ability to design and implement observability, monitoring, and alerting for Databricks Serverless environments

Responsibilities

• Designing and assessing serverless compute architectures for AI workloads
• Implementing scalable Azure Databricks Serverless environments
• Developing and maintaining CI/CD pipelines in Azure DevOps for AI and Databricks workloads
• Ensuring reliability, observability, monitoring, and optimization of Databricks and serverless services
• Collaborating closely with Data Science, Cloud Engineering, and DevOps teams

Skills

Relocation