Ml ops engineer

2 weeks ago


Hyderabad, India Zyoin Group Full time
Job Description:
 Minimum of 6 years Dev Ops 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 Cloud Formation scripts for dev/test/prod environments
 Knowledge in Python
 Should be able to build Dockerimagesindependently
 AWS Code Commit 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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