AWS Sagemaker Migration for ML Notebooks
Budget: $30 – $250 USD
I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker.
Your task will be to:
- Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local.
- Migrate These two models to AWS SAGEMAKER. Data will be on S3
-Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already.
-You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system.
-I will give you the data and access to AWS
Ideal Skills and Experience:
- Demonstrated experience in performing similar migrations
- Proficiency in Python, R, and Spark languages
- Hands-on experience with AWS Sagemaker
-AWS is a MUST,
-No matter how, we need to have both models up and running on Sagemaker.
-You dont need to change, or imrpove the models, they are already good. But maybe you will need to adapt them to be able to run in AWS Sagemaker.
Your ability to perform this task accurately and efficiently will be invaluable to our project.
Your task will be to:
- Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local.
- Migrate These two models to AWS SAGEMAKER. Data will be on S3
-Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already.
-You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system.
-I will give you the data and access to AWS
Ideal Skills and Experience:
- Demonstrated experience in performing similar migrations
- Proficiency in Python, R, and Spark languages
- Hands-on experience with AWS Sagemaker
-AWS is a MUST,
-No matter how, we need to have both models up and running on Sagemaker.
-You dont need to change, or imrpove the models, they are already good. But maybe you will need to adapt them to be able to run in AWS Sagemaker.
Your ability to perform this task accurately and efficiently will be invaluable to our project.