Senior MLOps Engineer with ML/AI for Azure

Що робити

Support application infrastructure to ensure the platform is optimized for performance and reliability.
Build and maintain supporting infrastructure for cloud environments and applications.
Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle.
Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness.
Build and manage enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow),

Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
Proven success in managing and optimizing CI/CD for an Azure-based SaaS application.
Hands-on experience with standard DevOps tools, including Azure DevOps.
Expertise in scripting with at least PowerShell or Bash.
Understanding of configuration management tools like Terraform.

Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments.
Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc.).
Strong understanding of CI/CD (YAML and Classic Pipelines).
Experience with PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks).
Experience in monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc).

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