Sr AWS Python Developer

Client: Vanguard

Role: Sr. AWS Python Developer (8+ years of experience)

Payrate: $59/hr. on C2C - NO FLEX

Duration: 6+ Months

Location: Malvern, PA (hybrid- 3 days a week, onsite on day 1)

Responsibilities:

The ModelOps & Automated Controls team makes deploying machine learning models easy. With tools like Aws SageMaker, Lambda, Code Pipeline and many other AWS services we serve our client by producing a pipeline to deploy Client models for data scientists throughout the organization while enforcing controls through automation.

As an engineer on the team you will be developing/architecting new functionality to the team's Model deployment pipeline, guiding clients on usage of our product, and resolving issues which may be occurring on the product.

Qualifications:

Python 2+ Years

AWS Cloud Knowledge (Lambda, S3, Step Functions) 2+ years

AWS Cloud Client Knowledge (SageMaker)

Additional Information:

This team handles all model operations and model governance

Model Ops team- building CI/CD Pipeline of models, deploying the code

Doing this same thing for machine learning platforms which team members at Vanguard use to deploy their models.

Everything is built in AWS and Python. This role IS NOT a data engineer or devops resource.

We need a strong, senior level python developer with experience in AWS, specifically AWS Lambda, Step functions, S3 buckets.

Should be familiar with Sagemaker- They are just provisioning sagemaker so they should be familiar with it and how it works, not necessarily hands on in the same sense that a data engineer would be