Back end developper for MVP - Python / AWS / docker / API / ML deployement
Budget: €18 – €36 EUR
Hello,
We are developing an MVP furniture comparator (www.thenona.co) based on a computer vision image similarity model and we are looking for a back end developper to start working on the MVP.
The ML used is the following :
Module for computing the similarity between a pair of images with a sofa. The algorithm works by extracting the latent space from a pre-trained Convolutional Neural Network (e.g., VGG16, MobileNetV2) using ImageNet and considering unsupervised distances/metrics as similarity (e.g., Euclidean distance, cosine similarity). Experience with integrating ML model will be required. The model is currently updated manually and one of the futur improvements will be to automatise the model build. (but if you are ok with a shorter job, I would be also open to you creating the sendinblue API for which no ML deployment experience is needed)
The first task I would need help for is to setup an automated email campaign containing dynamic content using amazon SES. Here is more info : https://rainy-armchair-2dd.notion.site/User-can-receive-his-product-list-by-email-b6e86e0551c348d29ba94acd39c9e50a
If this project goes well, there are many other improvements for the product and this could become a recurrent job as current developper is a starting full time job in a company. The current developper is available for the next few weeks if you have questions about the existing backend and infrastructure.
Prerequisites
- You should have significant experience with AWS postgres, docker containers, python
- Have worked before projects that involve building and communicating with APIs
- Have experience deploying a ML model through API
- Clean and well-documented code
- Feel comfortable using git for version control
We will provide the functional requisites to the best detail we can, and I'm looking for a developer who will be interested in interacting with me closely and that is available to start shortly.
Best,
Céline
We are developing an MVP furniture comparator (www.thenona.co) based on a computer vision image similarity model and we are looking for a back end developper to start working on the MVP.
The ML used is the following :
Module for computing the similarity between a pair of images with a sofa. The algorithm works by extracting the latent space from a pre-trained Convolutional Neural Network (e.g., VGG16, MobileNetV2) using ImageNet and considering unsupervised distances/metrics as similarity (e.g., Euclidean distance, cosine similarity). Experience with integrating ML model will be required. The model is currently updated manually and one of the futur improvements will be to automatise the model build. (but if you are ok with a shorter job, I would be also open to you creating the sendinblue API for which no ML deployment experience is needed)
The first task I would need help for is to setup an automated email campaign containing dynamic content using amazon SES. Here is more info : https://rainy-armchair-2dd.notion.site/User-can-receive-his-product-list-by-email-b6e86e0551c348d29ba94acd39c9e50a
If this project goes well, there are many other improvements for the product and this could become a recurrent job as current developper is a starting full time job in a company. The current developper is available for the next few weeks if you have questions about the existing backend and infrastructure.
Prerequisites
- You should have significant experience with AWS postgres, docker containers, python
- Have worked before projects that involve building and communicating with APIs
- Have experience deploying a ML model through API
- Clean and well-documented code
- Feel comfortable using git for version control
We will provide the functional requisites to the best detail we can, and I'm looking for a developer who will be interested in interacting with me closely and that is available to start shortly.
Best,
Céline