Madiff
Senior DevOps ML Engineer
Remote DevOps role with clear candidate location fit.
PostedJul 18, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior DevOps ML Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 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 haves
- 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
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