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Jobs / Machine Learning Engineer in United States of America
10 days ago
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Oracle·SaaS·10 days ago
10 days ago

Senior Machine Learning Engineer

Seattle, United States of AmericaMid · 5-8 yearsMachine Learning Engineer

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Top 10% of NextRaise users matched against Machine Learning Engineer roles in United States.

Must-have skills for this role

  • machine learning
  • model deployment
  • coding
  • workflow automation

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What you'll do

  • Implements machine learning (ML) models for production with minimal guidance
  • Contributes to the readiness of machine learning models for deployment in production
  • Contributes to the automation of machine learning workflows
  • Participates in the creation of infrastructure and frameworks to monitor the performance of machine learning models in deployment
  • Identifies potential data quality, security, and/or privacy issues and their impacts on modeling
  • Provides troubleshooting and debugging support
  • Contributes to addressing issues in machine learning infrastructure and workflows
  • Collaborates with stakeholders to integrate machine learning models into new or extant systems
  • Contributes to the development and maintenance of tools, platforms, and services for internal use
  • Develops low-complexity, efficient, bug-free code from scratch
  • Develops 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 with minimal guidance. Contributes to the readiness of machine learning models for deployment in production. Contributes to the automation of machine learning workflows. Participates in the creation of infrastructure and frameworks to monitor the performance of machine learning models in deployment. Identifies potential data quality, security, and/or privacy issues and their impacts on modeling. Provides troubleshooting and debugging support. Contributes to addressing issues in machine learning infrastructure and workflows. Collaborates with stakeholders to integrate machine learning models into new or extant systems. Contributes to the development and maintenance of tools, platforms, and services for internal use. Develops low-complexity, efficient, bug-free code from scratch. Develops familiarity with current developments in the machine learning field and integrates knowledge into model development.
SaaS

Company

OracleSaaS
Seattle, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Oracle's careers site·first seen 10 Sept 2026·last verified 10 Sept 2026·How we source jobs

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