Building a Cloud based Pytorch implementation

We have experience in both Docker and Machine Learning and thus familiar with deployment of ML models. Our architects have 15+ years of experience and we are AWS Registered partner. We would like to have a conversation with you regarding the architecture that you would like to adopt for inference/deployment (Continuous Intelligence if required). We will be able to suggest options or implement an architecture if you have already thought through. Docker or even Lambda are good options for API. Our experience with Docker (implementing large micro service applications), machine Learning (sklearn, Tensorflow, Keras etc.), Devops (AWS Code pipeline, Jenkins), customer orientation (we call customers for a reason), AWS Partnership and deep experience in application architecture make us a competent candidate for this project. About us: We are from VisionFirst Technologies Pvt. Ltd. We have designed, developed and implemented large insurance solutions (multiple mobile apps, webapps and custom softwares) with a few applications having 5000+ authenticated users. We have experience on multiple clouds such as Jelastic, AWS. Our tech stack includes offline/2G tolerant mobile apps, web applications, IOT and Analytics. Our business domains include insurance (Insurtech, Fintech), education (Edutech), Sports and logistics.