1. Integration of Machine Learning Models: Leverage extensive experience in PyTorch, quantization techniques, and embedded system programming to integrate machine learning models into the designated software stack. Ensure models are optimized for real-time processing and prediction on embedded devices.
2. DataManagement: Manage and structure datasets required for model validation and operation within production environments. Ensure adherence to data integrity and compliance with data protection standards.
3. Optimization for Embedded Systems: Adapt and fine-tune machine learning models using C and C++ to enhance performance and efficiency on low-power embedded devices.