Machine Learning Operations Engineer
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Full Time
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Posted 7 months ago
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Job description
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.
- 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.