Software Engineer - Machine Learning (SDV), POWER
Tasks
- Apply Kalman filters
- Benchmark and validate model performance
- Clean and process sensor datasets
- Deploy machine learning models
- Design machine learning models
- Develop real time application logic
- Interface and customize hardware platforms
- Optimize model inference latency
- Optimize model memory usage
- Perform exploratory data analysis
- Perform feature engineering
- Perform statistical modeling
- Process filter and synchronize sensor data
- Prune machine learning models
- Quantize machine learning models
- Train and preprocess data in Python
- Train machine learning models
- Tune hyperparameters
- Visualize time series data
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Data Analysis | Exploratory Data Analysis | Feature Engineering | GPIO | Hyperparameter Tuning | Inference Optimization | Kalman Filter | Linux | Machine Learning | Memory Optimization | Model Inference | Model Inference Optimization | Model Optimization | Model Pruning | Python | Quantization | Raspberry Pi | Raspbian | SPI | Scikit-learn | Series analysis | Signal Processing | Statistical modeling | TensorFlow Lite | Time Series | Time Series Analysis
Education
N/A
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