Machine Learning Engineer*
Mülheim-Kärlich, RP, Germany
EUR 36K-36K (estimate) Mid-level Full Time
Tasks
- Apply version control and code reviews
- Build CI/CD pipelines
- Build and integrate REST APIs
- Build end to end ML training pipelines
- Containerize components
- Deploy and package models for inference
- Design data platforms for ML
- Develop ML tooling and web UIs
- Ensure data security and compliance
- Implement unit and integration testing
- Maintain ML tooling in production
- Optimize models for production inference
- Serve models in cloud
- Serve models on edge
- Troubleshoot ML systems in production
- Write and maintain technical documentation
Perks/Benefits
- Flexible work environment
- Hybrid working model
- Laptop
- Long-term development opportunities
- Mobile phone
- Modern office facilities
Skills/Tech-stack
CI/CD | CUDA | CUDNN | Cloud Computing | Compliance | Computer Vision | Data Modeling | Data Privacy | Data Security | Deep learning | Docker | Edge Deployment | Feature Store | MLOps | Machine Learning | NoSQL | ONNX | Object storage | Python | REST API | SQL | TensorRT | TypeScript
Education
N/A
Regions
Countries
States
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