Azure DevOps / AI-ML Platform Engineer

🏢 Client: Northern Bank & Trust Company
📍 Location: 303 Main Street, Woburn, MA 01801
🏢 Work Mode: Onsite
⏳ Duration: 6 Months
💰 Rate: $46/hr
🎯 Interview: Not Mentioned

🔹 Role Overview

We are looking for an experienced Azure DevOps / SRE professional who can bridge IT infrastructure management and Azure DevOps engineering to support AI/ML workloads and enterprise IT services.

The role focuses on secure, scalable, compliant delivery of applications, data pipelines, and machine learning models across Azure environments.

🔹 Key Responsibilities

• Design and maintain Azure DevOps YAML CI/CD pipelines for AI/ML model build, testing, security scanning, and releases
• Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates
• Manage artifact repositories and container image signing
• Administer Azure environments, including AKS clusters and GPU-enabled pools
• Standardize environments for business applications and Azure Machine Learning workspaces
• Implement cloud governance, security controls, and compliance guardrails
• Partner with data science teams to deploy ML models efficiently
• Support reliability, scalability, and performance of enterprise systems

🔹 Required Skills

✅ 5+ years of DevOps/SRE experience
✅ 3+ years of hands-on Azure experience
✅ Azure DevOps — Repos, Pipelines & Artifacts
✅ GitHub Actions & YAML-based CI/CD
✅ Terraform or Bicep/ARM
✅ AKS & Azure Container Registry (ACR)
✅ PowerShell and/or Python
✅ Docker & Helm
✅ Azure Machine Learning — workspaces, endpoints, registries
✅ RBAC, Key Vault, Managed Identity & Azure Policy
✅ VNet, subnets, Private Link & cloud networking
✅ AI/ML deployment workflows and CI/CD integration

🔹 Preferred Qualifications

• GPU workloads on AKS or Azure ML
• Model serving with Azure ML Managed Online Endpoints or Kubernetes Inference
• Databricks, Microsoft Fabric, or related data platforms
• Azure DevOps Engineer Expert / Azure Solutions Architect certification

🔹 Core Technologies

☁️ Azure: AKS, Functions, Storage, Key Vault, Monitor, Log Analytics, API Management, Event Hub, Service Bus
⚙️ DevOps: Azure DevOps, GitHub, ACR, Helm, Docker, Terraform, Bicep/ARM
🔐 Security: Azure Policy, RBAC, Managed Identity, Defender for Cloud
📊 Observability: Application Insights, Azure Monitor, Grafana, Prometheus
💻 Languages: YAML, PowerShell, Python, Bash

🔹 First 90-Day Deliverables

📌 CI/CD templates for AI services
📌 IaC-based AKS/AML environments with security guardrails
📌 Unified observability dashboards, alerts & SLOs
📌 Incident response and change-management playbooks
📌 Automation opportunity backlog

🌟 Ideal Candidate: A strong communicator who thrives on automation, reliability, documentation, cloud security, and working in regulated environments.

📩 Interested candidates? Send your updated resume and contact details via DM.