Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.

Job Title: Sr. AWS Python Developer (8+ years of experience)
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 ML 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 ML 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