Senior DevOps ML Engineer
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- MLFlowAzureCI/CDDevOpsTerraformMLOps
Requirements
- Strong hands-on experience with Azure Databricks, including MLflow and Unity Catalog
- Proven background in DevOps or MLOps for AI / ML platforms
- Solid experience with Azure Cloud services
- Hands-on CI/CD and pipeline automation experience
- Infrastructure as Code expertise using Terraform
- Strong understanding of data governance, access control, and compliance principles
- Confident English for daily cooperation with international stakeholders
Responsibilities
- Design, build, and maintain MLOps and DevOps infrastructure on Azure
- Develop and optimise ML pipelines for deployment, monitoring, and governance
- Work with Azure Databricks, MLflow, and Unity Catalog
- Implement CI/CD pipelines and automated ModelOps workflows
- 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
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