Mission Machine Learning (ML) Modernization

The Mission ML Modernization will give you access to a ML on AWS expert that will work closely with you to help define your ML strategy. Mission is dedicated to helping customers get their models from research into production. We have been helping customers with their MLOps strategy and build out taking them from 0 to hero status on AWS.

The Mission ML Modernization offer helps you expedite the journey for your models from on premise or another cloud provider into the AWS ecosystem. We design you infrastructure based on best practices and utilize common tooling like AWS Sagemaker, AWS Sagemaker Pipelines, MLFlow, and others. Mission brings hands-on experience to support your journey into the cloud.

Key Activities

• Collaborative working backward session to understand your current ML models and business needs to identify usage and the best architectural approach.
• Design the ML Modernization plan for your AWS environment. * Model Stores * Experimentation * Endpoint Deployment
• Optional - Implement the modernization plan utilizing AWS tools like Sagemaker and Sagemaker pipelines.
• Optional - Ensure ML infrastructure quality and make changes to the environment based on your feedback.
• Document the system so that your team can maintain it in the future.
• Knowledge transfer to ensure your team is prepared for next steps and long-term ownership.

Deliverables:

1. A detailed plan for migrating your ML models from their current location whether that be on premise or another cloud provider into AWS.
2. Documentation and architectural diagram developed for your long term AWS ML modernization strategy which includes MLOps.