Senior ML Engineer — Productionized Models & Automation

Oracle; Austin (TX); On-site; USD 126,200 - 264,100; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

Oracle in Austin, Texas is seeking a machine learning engineer to productionize ML models and automate end-to-end workflows. You will build infrastructure to monitor deployed models and ensure readiness for production use.

You will collaborate with data scientists and software teams to translate prototypes into scalable solutions, address data quality and privacy concerns, and maintain robust, well-documented codebases across platforms.

Responsibilities

• Utilizes ML and software development knowledge to implement ML models for production.
• Engages in transforming ML prototypes into production-ready models.
• Collaborates with Development Leads, Product Management, Operations, and Release Management to shape development and delivery of software.
• Ensures ML model readiness for deployment by scaling models and ensuring production quality standards.
• Automates ML workflows from data extraction, transformation, and loading (ETL) to model deployment and monitoring.

Tools

PyTorch

TensorFlow

Keras

Job description

Oracle in Austin, Texas is seeking a machine learning engineer to productionize ML models and automate end-to-end workflows. You will build infrastructure to monitor deployed models and ensure readiness for production use.

You will collaborate with data scientists and software teams to translate prototypes into scalable solutions, address data quality and privacy concerns, and maintain robust, well-documented codebases across platforms.