Description

You will design, implement, and automate AI/ML platforms and infrastructure within Azure for enterprise data services.

This role is on-site.

Responsibilities

• Design and automate MLOps pipelines for training and managing AI/ML models using Azure OpenAI services.
• Provision and manage cloud infrastructure using Terraform, ARM templates, and Azure CLI.
• Develop APIs and Webhooks using Python, Git Actions, and Terraform.
• Implement Azure security features including RBAC, data protection, and PKI certificate management.
• Troubleshoot Azure networking components including DNS, NSG, routing, and connectivity.

Required Skills

• 5+ years of professional experience.
• 2+ years of hands-on experience with Azure AI/ML platforms and Azure OpenAI services.
• 2+ years of experience developing orchestration code with Azure Python SDK, Terraform, and GitHub Runners.
• Proficiency in Python, Git, GitHub, and Terraform.
• Expertise in Infrastructure as Code (IaC) and CI/CD pipelines using Git Actions.
• Strong knowledge of Azure networking, including DNS, NSG, and routing.
• Experience with Azure security features and Public Key Infrastructure (PKI).
• Understanding of deep learning and natural language models.
• Experience working within financial services regulatory and security frameworks.

Preferred Skills

• Experience with AIOps/MLOps automation frameworks.

Key Skills

Education

Any Graduate