Senior Azure DevOps Engineer (MLOps)
Tasks
- Automate build, test, and release processes
- Build Infrastructure as Code using Terraform or Bicep
- Design CI CD pipelines for application and machine learning workloads
- Develop MLOps pipelines for data ingestion training validation deployment monitoring
- Establish monitoring logging and alerting for applications and ML models
- Implement model versioning and experiment tracking
- Manage Azure services including Azure DevOps AKS and Azure Machine Learning
- Optimize cloud infrastructure for cost performance and scalability
- Productionize machine learning models
- Support security compliance and governance in cloud environments
Perks/Benefits
- Employee discount
- Flexible working
- Gym discounts
- Life assurance
- Mentorship coaching
- Private healthcare
- Quarterly profit share
- Remote Working
Skills/Tech-stack
Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure Monitor | Bash | Bicep | CI/CD | Docker | Drift monitoring | Experiment tracking | GitHub Actions | Grafana | IAM | Infrastructure as Code | Kubernetes | Kubernetes Service | MLOps | Machine Learning | Model Drift | Model Monitoring | Model drift monitoring | Powershell | Prometheus | Python | RBAC | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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