Azure DevOps Engineer (AI / Agentic) ML Ops Engineer
Core
Designing and implementing AI-driven automation workflows integrating LLMs to reduce operational toil and improve DevOps efficiency while architecting scalable cloud infrastructure on Microsoft Azure.
Role type
Senior MLOps Engineer (AI/Agentic Focus)
Builds
Intelligent, autonomous infrastructure systems and AI-driven platform engineering solutions
Domain
Cloud Engineering, DevOps, Applied AI, Microsoft Azure
Deliverable
production ML models | infrastructure
Required skills
Microsoft Azure (AKS, networking, native monitoring), Infrastructure as Code (Terraform, Bicep, ARM), Python, Bash, PowerShell, CI/CD (GitHub Actions, Jenkins), LLM integration, system architecture design
Preferred skills
Agile methodologies, remote collaboration, strategic technical advising
Technologies
Azure, AKS, Terraform, Bicep, ARM, Python, Bash, PowerShell, GitHub Actions, Jenkins, LLMs
Responsibilities
Drive AI-driven automation initiatives, Architect and optimize scalable cloud infrastructure, Define and evolve CI/CD and IaC strategies, Act as a strategic technical advisor, Improve system observability and cost efficiency
Seniority
Senior, hands-on IC