Senior DevOps ML Engineer
Tasks
- Apply Infrastructure as Code with Terraform
- Design build and maintain MLOps infrastructure
- Develop and optimize ML pipelines
- Ensure data architecture supports governance lineage and schema evolution
- Implement CI CD pipelines and automated ModelOps
- Monitor and ensure platform stability performance security and compliance
- Support operational readiness in regulated environments
- Work with Azure Databricks MLflow and Unity Catalog
Perks/Benefits
- Comprehensive healthcare
- Fully remote
- International projects
- Long-term B2B contract
- Multinational environment
Skills/Tech-stack
Access Control | Azure | Azure Databricks | CI/CD | Compliance | Data Governance | Docker | Infrastructure as Code | Kubernetes | MLOps | MLflow | ModelOps | Python | Terraform | Unity Catalog | “as-code”
Education
N/A
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