Data Engineer / Cloud-Engineer für Data, AI & MLOps (m/w/d)
Tasks
- Build data infrastructure
- Collaborate with data scientists
- Containerize applications
- Develop data integration concepts
- Implement CI/CD pipelines
- Implement infrastructure-as-code
- Manage Kubernetes deployments
- Optimize DevOps processes
- Optimize MLOps processes
- Support machine learning use case development
Perks/Benefits
- Car sharing
- Catered meals
- Company pension scheme
- Flexible working hours
- Free Coffee & Tea
- Gym membership
- Paid training
- Remote work
- Shared Team Events
- Workation possible
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Foundry | Azure IoT | Azure IoT Hub | Azure Machine Learning | CI/CD | Containerization | Continuous Deployment | Continuous integration | Data Factory | Data Lake Storage Gen2 | Databricks | DevOps | Infrastructure as Code | IoT Hub | Kubernetes | MLOps | Machine Learning | Microsoft Azure | Terraform | “as-code”
Education
N/A
Roles
Cloud Engineer | Cloud) | Data Engineer | Engineer | MLOps Engineer
Regions
Countries
States
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