Azure DevOps AI Engineer

Description

Looking for Ai infrastructure / azure strong not like a data scientist we need a building pipelines / tested

We are seeking a skilled professional to deliver enterprise data services, capabilities, and solutions on Azure. The ideal candidate will have prior experience with AI and cloud technologies, specifically within the financial services sector, and an understanding of the associated security and regulatory requirements. This role focuses on Azure AI and related services.
You will collaborate with cloud engineering, network, security, and risk management teams to deliver secure Azure AI solutions that adhere to company security policies and standards. Additionally, you will work with developers in our Azure engineering team and various business units to implement and continuously improve frameworks and tools that support the automation of AI services.

Responsibilities

• • Passionate about deep learning and natural language models
• • Adopt an AIOps/MLOps mindset, enabling services and developing pipelines for managing training and production models
• • Collaborate with internal application development teams to leverage AI services to address business objectives
• • Understand security, risks, and mitigations to securely load data and training models into the Cloud
• • Possess programming skills with experience in API and Webhook development using Python, Git Actions, and Terraform
• • Write and use Azure Resource Manager (ARM) and Terraform templates
• • Understand Azure security features, including data protection, authentication, and RBAC
• • Comprehend Public Key Infrastructure (PKI) and manage public and private key certificates in the Azure environment for PaaS services and applications
• • Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, and routing issues
• • Proficiency in cloud automation using native Azure CLI
• • Understand concepts related to deploying platform and data analytics via CI/CD pipelines
• • Ensure all cloud solutions comply with internally defined security and compliance controls
• • Develop and consume APIs, SDKs, and Webhooks for multi-directional integration of cloud orchestration platforms with enterprise systems, DevOps tools, and cloud platforms
• • Participate in fast-paced DevOps engineering teams within Scrum agile processes
• • Exhibit critical thinking with strong research and analytical skills
• • Self-motivated with a positive attitude and an ability to work independently and within a team
• Required Skills:
• • 2 years of experience as an AI and cloud platform engineer
• • 2 years of experience developing platform orchestration code using Azure Python SDK, Terraform, and GitHub Runners
• • Strong expertise in delivering Cloud Infrastructure as Code (IaC) leveraging CI/CD pipelines, Terraform, and Git Actions
• • Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery, and business continuity strategies, as well as performance measurement and monitoring in the cloud
• • Must be a self-starter with the demonstrated ability to take independent action to achieve results
• • Highly developed critical thinking, analytical, and problem-solving skills