Senior ML Engineer — Productionize & Scale AI Models

Oracle Corporation; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Oracle Corporation seeks an experienced Machine Learning Engineer to advance model productionization, deployment, and monitoring across systems. You will transform prototypes into scalable, production-ready solutions and collaborate with cross-functional teams.

Responsibilities include automating ML workflows (ETL, deployment, monitoring), developing metrics for model performance, ensuring data quality, and providing robust debugging and tooling.

Qualifications

• Strong collaboration across cross-functional teams with data scientists and developers.
• Experience turning ML prototypes into production-ready systems.
• Familiarity with ML frameworks and model deployment workflows.

Responsibilities

• Transform ML prototypes into production-ready models.
• Ensure ML models are scalable and production-ready.
• Automate ML workflows from data extraction to deployment and monitoring (ETL, deployment, monitoring).
• Develop infrastructure to monitor model performance and data quality.
• Provide troubleshooting and debugging for ML infra and workflows.
• Collaborate with stakeholders to align on deployment decisions and roadmaps.

Skills

Collaboration

Problem solving

Continuous learning

Tools

PyTorch

TensorFlow

Keras

ETL

CI/CD

Job description

Oracle Corporation seeks an experienced Machine Learning Engineer to advance model productionization, deployment, and monitoring across systems. You will transform prototypes into scalable, production-ready solutions and collaborate with cross-functional teams.

Responsibilities include automating ML workflows (ETL, deployment, monitoring), developing metrics for model performance, ensuring data quality, and providing robust debugging and tooling.