I am in need of developer who has experience with Python, Keras and Google ML Engine.
I have a deep learning model developed in Keras. I want to deploy it on Google ML Engine to serve predictions. I have written the code in a way that it can be deployed on Google ML Engine. The model trains alright when I run it locally using the python script but it has some issues when I use the `gcloud ml-engine train` command. The following are the issues that need to be fixed:
1. The `gcloud ml-engine local train` command to train the model locally runs but fails to install the required dependencies.
2. Currently, the model works by first downloading its training dataset to a local folder from my Google Storage Bucket and training on it. However, this makes a problem with ML engine since it doesn't have a local folder. Ideally it should get data directly on Google Storage bucket instead of downloading it locally but I am open to other suggestions on its solution.
3. I have a local script function that allows you to call predictions on the trained model. I want the serving function implementation relative to Google ML Engine so predictions can be directly from Google ML Engine deployed model.
All the documentation, README, and instructions at each step will be provided written in a full guide. I will personally also be available to answer any questions you might have.
The budget of this project is $70.
13 freelancers are bidding on average $112 for this job
Hi there, I would like to be considered for your project. I have 3+ years of experience in Python. I worked with AWS before so I can easily switch to Google ML. I'll be glad to help. Best regards, Andrew
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
I have been working as data scientist for more than 4 years during which i implemented numerous machine learning algorithms to solve varied business problems.
I am eager ,interested and dedicated.I have experience in developing python scikitlearn based [login to view URL] developed classification,regresssion and clustering models.
I have 2 years of experience working on machine learning and deep learning tasks. i mostly use google cloud engine for deep learning. So i have no problem in implementing your code on google cloud.