Parallelising the training using autoencoders -- 2

I am looking for a freelancer who can help me parallelise the training using autoencoders. Currently, I have a code written in Python, that works with any type of autoencoder – variational autoencoder (VAE), denoising autoencoder, or sparse autoencoder. The current code has 1-2 layers. I prefer to work on the model with the same layers, but if some further layers are required, I am open to discuss my project requirements. Furthermore, scalable and well-tested code is mandatory. To make this project successful, I need someone who has wide knowledge and experience of using different autoencoders, can work within time deadlines, and can handle tasks related to parallelizing models.