Cloud Data & MLOps Senior Engineer (m/w/d)
Core
Designing robust hybrid data pipelines, centralizing AI data architecture, and managing end-to-end MLOps to deploy ML models from cloud to customer operational networks.
Role type
Senior Cloud Data & MLOps Engineer
Builds
Hybrid data pipelines, scalable MLOps stages, and reusable infrastructure assets for AI use cases
Domain
Cloud computing, Data Engineering, Machine Learning Operations, IoT
Deliverable
production ML models
Required skills
Infrastructure as Code (Terraform), Python, Containerization (Docker), Cloud services (Azure/AWS), Big Data (Databricks/Spark), CI/CD, Kubernetes
Preferred skills
Azure IoT Hub, Edge infrastructure management
Technologies
Terraform, Docker, Kubernetes, Azure Data Factory, Databricks, Spark, GitHub Actions, Azure IoT Hub
Responsibilities
Designing hybrid data pipelines between on-premise and cloud environments; Managing central AI data architecture for AI use cases; Transferring ML models to customer operational networks; Implementing Infrastructure as Code for complex data lakes and clusters; Collaborating with Data Scientists to translate ML requirements into performant infrastructure
