What are the responsibilities and job description for the ML Engineer position at Jobs via Dice?
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Experience monitoring performance of deployed data products, with a focus on generalization, and code performance
MLOps best practices and experience implementing them.
Solid understanding of the foundational theory underlying machine learning (e.g. linear algebra, probability theory and numerical optimization)
AWS Sagemaker - Pipeline deployments using SM API calls, Orchestration of Sagemaker pipelines
Improve and maintain automated CI/CD pipeline.
Experience in configuring AWS environment. Experience in configuring AWS environment (i.e. EC2, S3, DB)
Expert knowledge of Python and are familiar with learning framework (e.g. Tensorflow, Keras, PyTorch)
Experience monitoring performance of deployed data products, with a focus on generalization, and code performance
MLOps best practices and experience implementing them.
Solid understanding of the foundational theory underlying machine learning (e.g. linear algebra, probability theory and numerical optimization)
AWS Sagemaker - Pipeline deployments using SM API calls, Orchestration of Sagemaker pipelines
Improve and maintain automated CI/CD pipeline.
Experience in configuring AWS environment. Experience in configuring AWS environment (i.e. EC2, S3, DB)
Expert knowledge of Python and are familiar with learning framework (e.g. Tensorflow, Keras, PyTorch)