ML Ops Engineer

3 weeks ago


Hyderabad, India Zyoin Group Full time

Job Description:

 Minimum of 6 years DevOps experience in AWS Cloud including managing ML Pipelines.

 Built and Executed atleast 2 MLOps projectsin AWS cloud using Sagemaker or otherservices.

Skills:

 Experience building cloud infrastructure as code

 Expertise in MLOps best practices

 Foundational understanding of data science and data science best practice

 Experience AWS services(sagemaker, ECR, S3, lambda,step functions) is amust

 Should able write CloudFormation scripts for dev/test/prod environments

 Knowledge in Python

 Should be able to build Dockerimagesindependently

 AWS CodeCommit or Github (including github actions) experience is a must

Responsibilities:

 Maintain and extend existing data science pipelines in AWS, with an emphasis on

infrastructure as code (cloudformation)

 Forthe purposes of this engagement, extensions will beminimal and limited to those required

to support the four identified workstreams.

 Maintain and create documentation on infrastructure usage and design (confluence, github

wikis, diagrams)

 Serve as the internal infrastructure expert, providing guidance to data scientists deploying

models into the pipelines

 Research new optimization opportunities based on the needs of specific data science products

 Work independently and collaboratively with data scientists to implement optimizations and

improvementsto specific projects deploying or being re-platformed within the infrastructure.


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