Senior ML Engineer: Productionized Models & Deployment

Oracle; Columbia (SC); On-site; USD 126,000 - 264,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching

Paid time off

Paid holidays

Employee stock purchase plan

Job summary

Oracle is seeking an experienced ML Engineer to implement models for production, automate workflows, and monitor model performance. You will collaborate with Development Leads, Product Management, Operations, and Release Management to ensure robust, scalable ML deployments.

The role emphasizes building tools and frameworks, writing efficient code from scratch, and staying current with ML advancements to improve production pipelines.

Qualifications

• Experience deploying ML models to production.
• Strong software development skills and Python.
• Experience with monitoring and performance tuning of ML systems.
• Ability to collaborate with cross‑functional teams.

Responsibilities

• Implement ML models for production and automate workflows.
• Develop infrastructure to monitor model performance in deployment.
• Collaborate with stakeholders to integrate ML into systems.
• Maintain and refine tools, platforms, and services for internal use.
• Provide troubleshooting and debugging for ML infrastructure.

Skills

ML Productionization

Python

DevOps

Monitoring

Model Deployment

Tools

PyTorch

TensorFlow

Keras

Job description

Oracle is seeking an experienced ML Engineer to implement models for production, automate workflows, and monitor model performance. You will collaborate with Development Leads, Product Management, Operations, and Release Management to ensure robust, scalable ML deployments.

The role emphasizes building tools and frameworks, writing efficient code from scratch, and staying current with ML advancements to improve production pipelines.