Production ML Engineer — Deployment & Automation

Oracle; Santa Clara (CA); On-site; USD 126,000 - 264,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) matching

Paid time off

Stock purchase plan

Job summary

Oracle is seeking an experienced ML Engineer to implement production-grade ML models and automate deployment workflows. You will build scalable pipelines, monitor model performance, and collaborate with data scientists and engineers to integrate ML solutions across systems.

The role requires hands-on coding, knowledge of ML frameworks (PyTorch, TensorFlow, Keras), and strong problem-solving abilities in a fast-paced environment.

Qualifications

• Hands-on experience turning ML prototypes into production-ready models.
• Experience automating ML workflows and pipelines.
• Ability to collaborate with cross-functional teams to deploy models.

Responsibilities

• Implements ML models for production and ensures readiness for deployment.
• Automates ML workflows from data extraction to monitoring.
• Creates infrastructure to monitor deployed model performance and reliability.
• Evaluates data quality, security, and privacy considerations impacting modeling.
• Provides troubleshooting and debugging support for ML infrastructure and workflows.

Skills

ML Model Production

Python

Model Deployment

CI/CD

Troubleshooting

Data pipelines

Tools

PyTorch

TensorFlow

Keras

Job description

Oracle is seeking an experienced ML Engineer to implement production-grade ML models and automate deployment workflows. You will build scalable pipelines, monitor model performance, and collaborate with data scientists and engineers to integrate ML solutions across systems.

The role requires hands-on coding, knowledge of ML frameworks (PyTorch, TensorFlow, Keras), and strong problem-solving abilities in a fast-paced environment.