"Join our team as a Data Platform Engineer and build scalable data solutions that drive innovation!"

• Design, deploy, and manage Azure-based cloud solutions, with a focus on data and AI workloads.
• Implement infrastructure-as-code using Terraform to provision scalable and secure Azure environments.
• Build and maintain CI/CD pipelines using Azure DevOps, Git, and automation frameworks to support rapid and reliable application delivery.
• Develop and maintain tools and scripts using Python and Bash.
• Support platform operations by proactively monitoring, diagnosing, and resolving issues to ensure system reliability and performance.
• Ensure compliance with security and governance standards relevant to data and AI solutions.
• Deploy and manage containerized applications on Azure Kubernetes Service, ensuring high availability and scalability.
• Collaborate with cross-functional DevOps and engineering teams.

• Relevant training or certifications in Azure
• Proficient knowledge in Azure Cloud services and architecture, with a focus on AI & ML solutions
• Proficient in Terraform
• Proficient in programming languages ​​such as Python
• Experience with frameworks like TensorFlow, PyTorch, and scikit-learn for machine learning
• Strong scripting skills for automation and deployment using PowerShell and/or Bash
• Strong understanding of Azure Machine Learning services and tools
• Knowledge of Azure Databricks for scalable and collaborative data science and machine learning
• Familiarity with Azure DevOps for CI/CD in AI & ML projects
• Competence in Azure Kubernetes Service 
• Expertise in working with Azure Data Factory
• Familiarity with compliance standards relevant to AI & ML applications
• Problem-solving and communication skills