RulesIQ is seeking a Senior Azure AI/ML Platform Engineer to deliver secure AI/ML solutions within Azure for enterprise data services. The ideal candidate will have extensive experience in financial services and a strong understanding of security and regulatory requirements.
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: 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: 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: 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: Troubleshoot Azure connectivity, DNS, and network configurations (NSG, routing).Collaborate with network teams to optimize and maintain secure Azure networking solutions.Collaboration & Agile Delivery: 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: 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: 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: 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: Strong analytical, research, and troubleshooting skills.Self-starter with the ability to work independently and collaboratively in a fast-paced environment.
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