Machine Learning Engineer*
Mülheim-Kärlich, RP, Germany
EUR 36K-36K (estimate) Mid-level Full Time
Tasks
- Apply version control code reviews and documentation
- Build CI/CD pipelines
- Build end to end ML training pipelines
- Build secure data platforms
- Collaborate with internal users
- Containerize components
- Deploy and package models for inference
- Design REST APIs for ML services
- Develop internal tools and web UIs for ML workflows
- Ensure data security, privacy, and compliance
- Implement unit integration and performance tests
- Integrate data platforms
- Maintain and troubleshoot ML tooling in production
- Optimize models for inference
- Serve models in cloud
- Serve models on edge
Perks/Benefits
- Flexible international working environment
- Hybrid working
- Laptop
- Long-term development opportunities
- Mobile phone
- Modern office and testing facilities
Skills/Tech-stack
ARM | CI/CD | CUDA | CUDNN | Cloud Computing | Computer Vision | Data Modeling | Data Privacy | Data Security | Deep learning | Docker | Edge Deployment | Feature Stores | Integration Testing | Jetson | MLOps | Machine Learning | NoSQL | ONNX | Object storage | Performance Testing | PyTorch | Python | REST APIs | React | SQL | TensorFlow | TensorRT | TypeScript | Unit Testing | Vue.js
Education
N/A
Regions
Countries
States
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