Machine Learning Engineer*
Mülheim-Kärlich, RP, Germany
EUR 45K-47K (estimate) Mid-level Full Time
Tasks
- Apply software engineering practices with version control and code reviews
- Build end to end ML training pipelines
- Build integrate and maintain secure data platforms
- Containerize components
- Deploy optimize package models for inference
- Design implement REST APIs for ML services
- Develop maintain internal tools and web UIs
- Ensure data security, privacy, and compliance
- Implement CI/CD pipelines
- Maintain troubleshoot ML tooling in production
- Optimize models for computer vision and edge deployment
- Serve models in cloud
- Serve models on edge
- Write unit, integration, and performance tests
Perks/Benefits
- Flexible working environment
- Hybrid working model
- International work culture
- Laptop provided
- Long-term development opportunities
- Mobile phone provided
- Modern office and testing facilities
Skills/Tech-stack
CI/CD | CUDA | CUDNN | Cloud Computing | Code review | Compliance | Computer Vision | Data Privacy | Data Security | Deep learning | Docker | Edge Computing | Feature Store | Integration Testing | Kubernetes | MLOps | Machine Learning | NoSQL | ONNX | Object storage | Performance Testing | Python | REST | REST API | SQL | TensorRT | TypeScript | Unit Testing
Education
N/A
Regions
Countries
States
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