StyleGAN training with custom dataset

Seeking a freelancer to work on a project involving StyleGAN or any other generative model training with a custom dataset. Specifically, we are looking for an experienced machine learning engineer or developer to help us train a generative model for our project. The project aims to generate new images based on a set of input images that represent our brand design language. I need someone who can provide expertise in training a generative adversarial neural network with a custom JPEG/PNG dataset made out of 360 renders of a 3D model. This custom JPEG dataset will be used in order to teach StyleGAN to produce realistic images. Understanding the StyleGAN model and experience in working with GANs and image datasets is paramount for this project.

Responsibilities:
/ Preprocess and prepare the input images for training
/ Train a generative model using the input images
/ Evaluate the performance of the trained model and fine-tune as needed
/ Develop an application that can generate new images based on the trained model
/ Integrate the application into our existing system

Suitable Candidate:
/ Experience with deep learning frameworks such as TensorFlow or PyTorch
/ Experience with training generative models, such as GANs, VAEs, or autoregressive models
/ Strong programming skills in Python
/ Experience with computer vision and image processing techniques
/ Experience with cloud computing platforms such as AWS or GCP
/ Excellent problem-solving and analytical skills
/ Good communication and collaboration skills