OP

ML Pipeline Engineer

Openkyber

RemoteFull timeMid levelPosted today
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About the role

Job Role: ML Pipeline Engineer

Duration: 12 Months Contract

Skills Required:

  • DevOps, deployment, network operations, systems administration, scripting, coding, development for planning, testing, deployment
  • Linux Slackware web servers configuration
  • HTML, CSS, JavaScript, Java, C coding
  • Android development
  • Automation tools
  • Cloud infrastructure, CI/CD, automation, security, production operations
  • Microsoft Azure with multi subscription architecture, landing zones, governance, policy enforcement
  • CI/CD pipelines with GitHub Actions
  • Repository migrations, pipeline driven delivery
  • Infrastructure as Code, configuration driven deployment, platform standardization
  • Linux-based and cloud-hosted application environments administration
  • Containerization: Docker, Azure Container Apps, Azure Container Registry
  • Networking and secure application delivery: Application Gateway, API Management, SSL/TLS, routing, firewall policies
  • Cloud security: Managed Identity, zero secret architecture, RBAC, governance policies, secure access design
  • Monitoring with Azure Monitor, Log Analytics, diagnostics, centralized logging, alerting
  • Data platform deployment automation: Azure SQL, SQL Managed Instance, Azure Synapse Analytics
  • Scripting, provisioning, environment management
  • Dev Sec Ops, release governance, compliance cloud operations, operational resilience
  • AI/ML platform engineering and MLOps: Azure Machine Learning, Azure OpenAI, Azure AI Search, Azure AI Foundry
  • Deploying Azure AI Agents in Docker and MCP servers, AI Search integration, cross tenant connectivity

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