Location: Durham, NC
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description:
Position: Cloud Engineer - Machine Learning Ops
Location: Hybrid Durham, NC (Most associates will have a hybrid schedule with a requirement to work onsite at a location for at least one week, 5 consecutive days, every four weeks)
Contract Length is 1 year
Updates 3/13/24
This team wants LOCAL Durham NC candidates only. No Relos.
We DO NOT need a Data Scientist or ML Engineer for this.
This is more of an AWS Cloud Engineer with some ML Operations in the background.
This person is going to be deploying ML Models via AWS Sagemaker.
Will NOT be any new dev from scratch.
MUST HAVE: AWS (Sagemaker, Lambdas S3 Buckets) / ETL / Python / Machine Learning Ops experience. Sagemaker is an absolute must plus CI/CD experience.
Top Skills:

1. Good experience in Python or Java (Preferably Python)
2. AWS cloud experience (Lambda, Step Functions, CFT, IAM, Glue, S3, SNS, SQS etc.)
3. Good CI/CD experience. (Preferably Jenkins )
4. AI/ML experience or knowledge preferably AWS Sagemaker

Published Description:
Sr. AWS Cloud Engineer w/ Machine Learning Ops As a Cloud Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization of models.
Extend existing ML Platform and frameworks for scaling model training & deployment.
Partner closely with various business & engineering teams to drive the adoption, integration of model outputs.
This role is a critical element to using the power of Data Science in delivering our client's promise of creating the best customer experiences in financial services.
The Team
PI Data Engineering team (part of Personal Investing Technology BU) is focused on delivery data and ML solutions for the organization.
As part of this team, you will be responsible for building advanced analytics solutions using various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models to large volumes in production.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!