remote
Senior DevOps ML Engineer - Madiff
ML Engineer
Senior DevOps ML Engineer focused on building and maintaining production‑grade MLOps infrastructure on Azure, designing scalable ML pipelines, and implementing CI/CD, governance, and automation for AI workloads in a regulated environment.
About the role
This is a remote position.
- 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
Originally posted on Himalayas
Skills
azuremlopscicdmlflow