Position: Strong Middle ML Engineer
Company: Zvook
Experience required: 2y
English level: upper

Responsibilities:
• Implement and maintain deep learning audio detection/classification models in PyTorch
•Deploy and optimize trained NNs on embedded devices
•Train models, keep track of performance, and tune hyperparameters
•Propose metrics that will best for the task
•Build sustainable both training and inference Deep Learning Pipelines
•Proactively read relevant literature and generate ideas for model enhancements

Key requirements:
• Have advanced knowledge in relevant areas of mathematics and statistics
•Have knowledge and hands on experience with next libraries
◦Pytorch
◦DVC
◦ONNX
•Have a working knowledge of various techniques, tricks, and best practices for designing deep nets, hyperparameter optimization, visualization, interpretation, etc.
•Have knowledge and experience of CNN models deployment and optimization for embedded devices (Raspberry PI, Orange PI and others)
•Have knowledge and hands on experience with
◦Audio Detection/Classification
◦CNNs
◦Deep Learning model performance optimization

Nice to have:
Knowledge of Digital Signal Processing theory
•Participation in Kaggle or other DS/ML/DL Competitions
•Knowledge of CUDA / interest in developing custom CUDA kernels