Senior DevOps ML Engineer at Madiff | GlassEver Jobs

Senior DevOps ML Engineer at Madiff | GlassEver Jobs

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Jobs / Senior DevOps ML Engineer

Senior DevOps ML Engineer

United States Oct 15, 2026
DevOps-Engineer MLOps-Engineer Machine-Learning-Engineer Data-Engineer Cloud-Engineer Senior-DevOps-Engineer-AI-ML Senior-AI-ML-Operations-Engineer Senior-ML-Platform-Engineer Senior-MLOps-Engineer

Job Description

This is a remote position.

We are looking for a Senior DevOps ML Engineer​ to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence.
Responsibilities
  • Design, build, and maintainMLOpsand DevOps infrastructure on Azure
  • Develop andoptimiseML pipelines for deployment, monitoring, and governance
  • Work with Azure Databricks,MLflow, and Unity Catalog
  • Implement CI/CD pipelines and automatedModelOpsworkflows
  • Ensure data architecture supports governance, lineage, and schema evolution
  • Apply Infrastructure as Code using Terraform
  • Collaborate closely with AI engineers and data teams to support production ML systems
  • Monitor and ensure platform stability, performance, security, and compliance
  • Support operational readiness of ML workloads in regulated environments

Requirements
  • Stronghands-onexperiencewithAzureDatabricks,includingMLflowand UnityCatalog
  • Proven background in DevOps orMLOpsfor AI / ML platforms
  • Solid experience with Azure Cloud services
  • Hands-on CI/CD and pipeline automation experience
  • Infrastructure as Codeexpertiseusing Terraform
  • Strong understanding of data governance, access control, and compliance principles
  • Confident English for daily cooperation with international stakeholders
Nice to have
  • Pythondevelopmentorscriptingexperience
  • Docker and Kubernetes knowledge
  • Exposure to Generative AI or broader ML workflows
  • Experience working in insurance or other regulated environments

Benefits
  • Solid, competitive salary
  • Work in multinational environment on international projects
  • Comprehensive healthcare
  • Long-term B2B contract with stable project pipeline
  • Fully remote model