- 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.
- 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
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Sr. AWS Python Developer - Malvern, United States - CyberTec
Description
Client: VanguardRole: 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: