Senior Azure AI/ML Platform Engineer

Job Description:

We are seeking a Senior Azure AI/ML Platform Engineer with hands-on experience in Azure OpenAI, Infrastructure as Code (IAC), and Azure networking. This role focuses on delivering secure and compliant AI/ML solutions within Azure for enterprise data services. The ideal candidate will have extensive experience working in financial services, with a deep understanding of security and regulatory requirements.

You will collaborate with cloud engineering, security, and risk management teams to implement AI/ML services and enable automation through CI/CD pipelines. Strong problem-solving skills and a passion for innovation are essential.

Key Responsibilities:

AI/ML Development & Automation:

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  • Design, implement, and automate pipelines for training and managing AI/ML models (AIOps/MLOps).
  • Leverage Azure OpenAI services to develop and deploy solutions aligned with business objectives.
  • Develop APIs and Webhooks using Python, Git Actions, and Terraform.

Cloud Infrastructure & Automation:

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  • Utilize Infrastructure as Code (IAC) to provision and manage cloud infrastructure.
  • Create and manage Azure Resource Manager (ARM) and Terraform templates.
  • Automate cloud services deployment using native Azure CLI and CI/CD pipelines.

Security & Compliance:

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  • Ensure secure data handling and model training in compliance with internal security policies.
  • Implement Azure security features, including data protection, RBAC, and authentication.
  • Manage Public Key Infrastructure (PKI) and certificates for Azure services.

Azure Networking & Troubleshooting:

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  • Troubleshoot Azure connectivity, DNS, and network configurations (NSG, routing).
  • Collaborate with network teams to optimize and maintain secure Azure networking solutions.

Collaboration & Agile Delivery:

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  • Work closely with development teams to integrate AI/ML services into enterprise applications.
  • Participate in Agile teams and contribute to DevOps practices within a Scrum framework.
  • Continuously improve automation frameworks and tools for self-service AI/ML capabilities.

Mandatory Requirements:

AI/ML Expertise:

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  • 2+ years of hands-on experience with AI/ML platforms in Azure, including Azure OpenAI services.
  • Strong understanding of deep learning and natural language models.

Cloud Automation & IAC:

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  • 2+ years of experience developing platform orchestration code using Azure Python SDK, Terraform, and GitHub Runners.
  • Expertise in Infrastructure as Code (IAC) and CI/CD pipelines with Git Actions.

Azure Networking & Security:

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  • Proficiency in Azure networking, including DNS, NSG, routing, and connectivity troubleshooting.
  • Familiarity with Azure security features and public/private key management (PKI).

Critical Thinking & Problem Solving:

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  • Strong analytical, research, and troubleshooting skills.
  • Self-starter with the ability to work independently and collaboratively in a fast-paced environment.