Machine Learning Engineer Automotive (Customer Facing) (f/m/div)
Stockholm (City center)
R
SEK 654K-822K (estimate) Entry-level Full Time
Tasks
- Collect analyze and preprocess automotive sensor data
- Define data collection and labeling strategies
- Deploy machine learning models on resource constrained devices
- Design train validate and optimize machine learning models for automotive applications
- Develop proof of concepts and demonstrations
- Develop validation methodologies for real world conditions
- Identify and evaluate AI use-cases
- Support customer workshops technical presentations and solution reviews
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Data Preprocessing | Data labeling | Deep learning | Edge AI | Feature Engineering | Machine Learning | Model Compression | Model Optimization | Model Quantization | ONNX | PyTorch | Python | RTOS | Real Time | Real-time Inference | Scikit-learn | Sensor data | Series analysis | Signal Processing | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | TinyML | Unsupervised Learning
Education
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