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Machine Learning Operations Engineer

Expired
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Virtusa
Sydney, NSW
Full Time

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Posted 6 months ago
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Job description
  • Should have a solid understanding of CI/CD and MLOps best practices.
  • Responsible for designing and implementing solutions on the Amazon Web Services (AWS) ecosystem.
  • Strong understanding of AWS and be proficient in Python for scripting and ML model integration.
  • Hands-on experience with Docker, GitHub Actions, and Apache Airflow is a must.
  • Familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda.
  • Experience deploying ML models using Amazon SageMaker.
Qualification
  • Should have a solid understanding of CI/CD and MLOps best practices.
  • Responsible for designing and implementing solutions on the Amazon Web Services (AWS) ecosystem.
  • Strong understanding of AWS and be proficient in Python for scripting and ML model integration.
  • Hands-on experience with Docker, GitHub Actions, and Apache Airflow is a must.
  • Familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda.
  • Experience deploying ML models using Amazon SageMaker.