Employer Active
Title: Cloud EngineerMachine Learning Ops
Location: Durham NC (Local Candidates only)
Duration: 12 months
Details: They are asking for more python and CI/CD experience as well as everything below: This team wants LOCAL Durham NC candidates only. They have had a heck of a time with relos. We DO NOT need a Data Scientist or ML Engineer for this. Team will not review those profiles. 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.
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 Fidelitys promise of creating the best customer experiences in financial services.
Experience:
The Expertise You Have
Full Time