Machine Learning Engineer*
Mülheim-Kärlich, RP, Germany
EUR 42K-42K (estimate) Mid-level Full Time
Tasks
- Apply software engineering best practices for version control code review and documentation
- Build end to end machine learning training pipelines
- Build integrate and maintain data platforms
- Deploy models to edge systems and industrial sorting equipment
- Design and develop REST APIs for ML services
- Develop and maintain internal ML tools and web user interfaces
- Develop and maintain robust software with unit integration and performance tests
- Develop implement test deploy maintain data and model centered machine learning systems
- Ensure data security, privacy, and compliance
- Implement containerization and CI/CD pipelines
- Maintain and troubleshoot ML tools in production
- Optimize package and deploy models to production
- Provide models in cloud environments
Perks/Benefits
- Hybrid work model
- International work environment
- Laptop
- Long Term Development and Career Growth
- Mobile phone
- Modern Office and Test Facilities
- Open Culture Flat Hierarchies
Skills/Tech-stack
ARM | CI/CD | CUDA | CUDNN | Cloud Platforms | Code review | Compliance | Computer Vision | Containerization | Data Modeling | Data Privacy | Data Security | Deep learning | Edge Deployment | Feature Stores | Integration Testing | Jetson | MLOps | Machine Learning | Model Packaging | NoSQL | ONNX | Object storage | Performance Testing | Python | REST API | SQL | TensorRT | TypeScript | Unit Testing | Version control | X64
Education
N/A
Regions
Countries
States
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