AWS Architecture Design for Spark & Sagemaker
Budget: $30 – $250 USD
I'm looking for a skilled DevOps Engineer experienced in AWS to help design a robust architecture for my Spark and Sagemaker Machine Learning models.
Key Requirements:
- **AWS Services**: Your primary focus will be on utilizing Amazon S3 and Amazon Sagemaker effectively within the architecture.
- **Programming Languages**: Familiarity with both Python and R is important, given that my models are built in those languages.
- **Model Operations**: Your design should focus on enabling batch predictions and facilitate model training and retraining for the Machine Learning models.
Ideal Skills:
- Experience with Amazon S3 and Amazon Sagemaker are a must.
- Proficiency in Python and R for fine-tuning or troubleshooting the models.
- Familiarity with designing architectures for batch predictions and model training/retraining.
- Strong understanding of DevOps principles and AWS best practices.
I'm looking for a professional who can help me optimize the performance of my models while ensuring the scalability and reliability of the architecture. If you have a proven track record in similar projects, I'd love to hear from you.
Key Requirements:
- **AWS Services**: Your primary focus will be on utilizing Amazon S3 and Amazon Sagemaker effectively within the architecture.
- **Programming Languages**: Familiarity with both Python and R is important, given that my models are built in those languages.
- **Model Operations**: Your design should focus on enabling batch predictions and facilitate model training and retraining for the Machine Learning models.
Ideal Skills:
- Experience with Amazon S3 and Amazon Sagemaker are a must.
- Proficiency in Python and R for fine-tuning or troubleshooting the models.
- Familiarity with designing architectures for batch predictions and model training/retraining.
- Strong understanding of DevOps principles and AWS best practices.
I'm looking for a professional who can help me optimize the performance of my models while ensuring the scalability and reliability of the architecture. If you have a proven track record in similar projects, I'd love to hear from you.