Senior ML Engineer — Productionized Models & Tools

Oracle; Seattle (WA); On-site; USD 126,000 - 264,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) company match

Paid time off

Job summary

Oracle is seeking an experienced machine learning engineer in Seattle to implement and productionize ML models. You will automate ML workflows, build infrastructure to monitor deployed models, and collaborate with data scientists and software teams to integrate ML into new or existing systems.

You will also evaluate data quality and privacy considerations, maintain code quality, and stay current with ML advancements to improve production environments.

Qualifications

• Implements production-ready ML models and automates ML workflows.
• Creates infrastructure to monitor model performance in deployment.
• Collaborates with stakeholders to integrate ML into systems.

Responsibilities

• Implements ML models for production and ensures readiness for deployment.
• Automates ML workflows from data extraction to deployment and monitoring.
• Creates infrastructure to monitor performance and align with design criteria for trained models.
• Evaluates data quality, security and privacy issues impacting modeling.

Skills

ML model production

Python programming

CI/CD for ML

Model monitoring

Debugging

Stakeholder collaboration

Tools

PyTorch

TensorFlow

Keras

CI/CD pipelines

Job description

Oracle is seeking an experienced machine learning engineer in Seattle to implement and productionize ML models. You will automate ML workflows, build infrastructure to monitor deployed models, and collaborate with data scientists and software teams to integrate ML into new or existing systems.

You will also evaluate data quality and privacy considerations, maintain code quality, and stay current with ML advancements to improve production environments.