Oracle·SaaS·4 hours ago
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Principal Machine Learning Engineer
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What you'll do
- Implements machine learning (ML) models for production.
- Ensures the readiness of machine learning models for deployment in production.
- Automates machine learning workflows.
- Creates infrastructure and frameworks to monitor the performance of machine learning models in deployment.
- Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling.
- Provides troubleshooting and debugging support.
- Addresses issues in machine learning infrastructure and workflows.
- Collaborates with stakeholders to integrate machine learning models into new or extant systems.
- Develops, maintains, and refines tools, platforms, and services for internal use.
- Develops efficient, bug-free code from scratch.
- Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Implements machine learning (ML) models for production. Ensures the readiness of machine learning models for deployment in production. Automates machine learning workflows. Creates infrastructure and frameworks to monitor the performance of machine learning models in deployment. Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling. Provides troubleshooting and debugging support. Addresses issues in machine learning infrastructure and workflows. Collaborates with stakeholders to integrate machine learning models into new or extant systems. Develops, maintains, and refines tools, platforms, and services for internal use. Develops efficient, bug-free code from scratch. Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development.
SaaS
Company
OracleSaaS
Santa Clara, United States of America
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