• Work within the clients AWS environment to help design and deploy architecture to support data scientists who are designing, developing and implementing machine learning models using Python and R.
• Will help design and implement architecture to support a sustainable scalable model management and deployment infrastructure including both batch outputs oriented models and real-time integrated model scored implementations
• Will help evaluate recommend and assist with installing of cloud based tools to wrangle data and host and deploy AI models
• Will help build AWS based data stores that meet strict client-specific security standards to support data wrangling, feature generation, and data feeds for AI model scoring
• Familiar with all aspects of provisioning compute resources within the AWS environment.
• Understands various storage offerings and how to utilize them in a development environment, including connectivity between EC2 instances and S3 buckets.
• Assist in the rollout and training of resources on utilizing AWS data science support tools and the AWS environment for the development squads
• Participate in cross squad training events

Minimum of 5 years' experience in the AWS environment

Minimum of 5 years' experience in Python development

Minimum of 3 years' experience with machine learning development and/or model deployment

Minimum of 5 years' experience with SQL and relational database experience

Minimum of 1 year experience with Athena

Minimum of 2 years' experience with cloud hosted data science tools