Cloud Data & MLOps Senior Engineer (m/w/d)
Tasks
- Build AI data processing architecture
- Collaborate with data scientists
- Conception of hybrid data pipelines
- Create reusable infrastructure assets
- Develop local inference services
- Implement CI/CD pipelines
- Implement end to end MLOps stages
- Integrate data lakes and clusters
- Manage infrastructure with Infrastructure as Code
- Translate machine learning requirements into infrastructure
Perks/Benefits
- Apple hardware
- Car sharing
- Catering provided
- Flexible working hours
- Free beverages
- Health benefits
- Professional development training
- Remote work
- Retirement plan
- Team events
- Workation
Skills/Tech-stack
AWS | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure IoT | Azure IoT Hub | CI/CD | Data Factory | Data Lake | Databricks | Docker | Edge Computing | Firewalls | Git | GitHub Actions | Infrastructure as Code | IoT Hub | Kubernetes | MLOps | Machine Learning | Python | Terraform | VNet | “as-code”
Education
N/A
Roles
Cloud Data Engineer | Cloud) | Data Engineer | Engineer | MLOps Engineer
Regions
Countries
States
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