Good Hands-on experience in AI/ ML domain specially in Deep Learning techniques such as CNN, RNN, LSTM and Transformer architectures
Working knowledge of Tensor Flow, Keras, Pytorch platform and libraries
Work experience in field of Voice and Speech Recognition, Audio Signal pre/post Processing, Sound/Acoustic Event Detection and Analysis, Audio DSP algorithms
Preferred experience on running ML/DL models on reference platforms (Arduino, Rasberry Pi, etc) and Edge devices
Good understanding of Data Structures, algorithms and Software design methodologies
Hand-on experience in Linux/embedded development
Hands on experience in multi-threaded programming, IPC communication (Socket, DBUS, IOCTL etc)
Know-how of Sensors: Radar sensing, Acoustic sensing
Must have excellent debugging skills, problem-solving and analytical thinking ability
