loud Engineer/AWS/SageMaker/Python

Mid-senior resource with AWS Python SageMaker and DataWrangler Application Support Resource is required to operationalize the SageMaker platform and provide support for requests such as: onboarding, data prep, routine maintenance, capacity planning/monitoring, chargeback modeling and reporting, and best practice guidance.
**Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local.

***** CANDIDATES MUST HAVE RECENT EXPERIENCE WORKING WITH SAGEMAKER, AWS AND PYTHON.

Required Location: Hybrid/Midtown or Commack New York City 3 days a week.
Contract status: $60/hr on c2c preferred or $60/hr on W2
Interview Required: Video

Candidates must be LOCAL to the NEW YORK or NEW JERSEY area and COMMUTE into the office THREE TIMES A WEEK. NO RELOCATION CONSIDERED.

*** PLEASE Only send me candidates in the NY/NJ Commack, Long Island area Open to hybrid.

*** Please make sure that each submittal includes:

1. Driver's license or State ID
2. Link to the candidates LinkedIn account.
3. Below submittal Format

*** Candidate Must Have's on a resume and for submittal:

1. How many years working with: AWS
2. How many years working with: SageMaker
3. How many years working with: PYTHON
4. How many years working with: DataWrangler IS A+
5. How many years working with:
*** Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.

• Full Name:
• Rate:
• Location:
• Availability to Interview: One Day's notice
• Availability to Start:
• Email Address:
• Phone Number:
• Visa Status:
• Education - College/Year of graduation:
• Link to LinkedIn?
• Certifications (Please list)?

Please send candidates who meet or exceed the Below experience:

AWS Infrastructure & Development
Experience Level 8-10+ years Skills & Job Responsibilities
AWS Python SageMaker and DataWrangler Application Support Resource is required to operationalize the SageMaker platform and provide support for requests such as: onboarding, data prep, routine maintenance, capacity planning/monitoring, chargeback modeling and reporting, and best practice guidance.
Resource should also be familiar with AWS in general and have the ability to support AWS infrastructure operations as needed