Description

You will design and manage MLOps pipelines to handle training and production models within Azure.

Responsibilities

• Develop and manage pipelines for training and production models using an AIOps/MLOps mindset.
• Collaborate with application teams to implement AI/ML services that meet business objectives.
• Securely load data and training models into the cloud by implementing data protection, authentication, and RBAC.
• Build and consume APIs, SDKs, and Webhooks for integration between cloud orchestration platforms and enterprise systems.
• Automate cloud infrastructure using Azure CLI, Terraform, and Azure RM templates.

Required Skills

• 5+ years of professional experience.
• 2+ years as an AI and ML platform engineer.
• 2+ years developing platform orchestration code using Python SDK, Terraform, and GitHub Runners.
• Expertise in Infrastructure as Code (IaC) using Terraform and GitHub Actions.
• Proficiency in Python for API and Webhook development.
• Experience with Azure security features, including PKI and certificate management for PaaS.
• Ability to troubleshoot Azure connectivity, DNS, NSG, and routing.
• Knowledge of cloud provisioning, disaster recovery, and business continuity strategies.
• Experience deploying platform and data analytics via CI/CD pipelines.

Key Skills

Education

Any Graduate