Blend360 is hiring a

Senior AWS MLOps Engineer

Hyderabad, India
Full-Time
  • Minimum of 5 years DevOps experience in AWS Cloud including managing ML Pipelines.
  • Built and Executed at least 2 MLOps projects in AWS cloud using Sagemaker or other services.

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 a must
  • Should able write CloudFormation scripts for dev/test/prod environments
  • Knowledge in Python
  • Should be able to build Docker images independently
  • 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)
  • For the purposes of this engagement, extensions will be minimal 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 improvements to specific projects deploying or being re-platformed within the infrastructure.
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