Machine Learning Engineer / Edge-ML Automotive (m/w/d/kA)
Tasks
- Build end to end machine learning pipeline
- Containerize and automate testing and validation
- Create technical documentation and evaluation reports
- Define data and test campaigns and conduct error analysis
- Deploy edge machine learning models with optimization and quantization
- Develop robust machine learning algorithms for intent gesture recognition
- Implement MLOps for CI CD data and model pipelines
- Monitor model performance and drift
- Perform feature engineering and model training
- Run experiment tracking and model versioning
Perks/Benefits
- Bike leasing
- Company pension
- Corporate benefits
- Flexible working hours
- Mobile working
- On-site cafeteria
- Paid time off
Skills/Tech-stack
C plus plus | CAN | CI/CD | DVC | Data Fusion | Data labeling | Docker | Embedded Linux | Feature Engineering | Git | GitLab CI | IMU | Integration Testing | Jenkins | Kalman Filter | Linux | MLflow | Model Drift | Model Monitoring | ONNX | Particle Filter | Pruning | PyTorch | Python | Quantization | ROS2 | Radar | Sensor Data Fusion | Sensor data | Signal Processing | TorchScript | Tracking | UWB | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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