Senior ML Engineer - Productionized Models & Impact

Oracle Corporation; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Oracle Corporation is seeking a skilled ML Engineer to turn prototypes into production-ready models and automate ML workflows from ETL to deployment. The role involves collaborating with diverse teams to ensure scalable, reliable model integration and ongoing performance monitoring.

Responsibilities include building infrastructure for model performance, addressing data quality issues, and maintaining documentation and code quality.

Responsibilities

• Utilizes ML and software development knowledge to implement ML models for production.
• Transforms machine learning prototypes into production-ready models.
• Collaborates with Development Leads, Product Management, Operations, and Release Management to shape the development and delivery of software.
• Ensures ML model readiness for deployment by scaling models, cleaning model code, and meeting production quality standards.
• Automates ML workflows from data extraction, transformation, and loading (ETL) to model deployment and monitoring for CI/CD of ML solutions.
• Creates infrastructure to monitor performance and alignment with design criteria of trained models.
• Proactively monitors deployed models and troubleshoots with Data Science as needed.
• Develops novel metrics to provide analytical insights to non-technical stakeholders about model performance.
• Evaluates data quality issues (bias, fairness, data security/privacy) and mitigates their impacts on analyses and modeling.
• Collaborates with data scientists and software developers to integrate ML models into systems.
• Maintains partnership between model development and operations for smooth deployment and continuous improvement.
• Understanding operational considerations of deployment (performance, scalability, stability, maintenance).
• Provides troubleshooting and debugging support for ML infrastructure and workflows to build robust solutions.
• Develops, maintains, and refines tools, platforms, environments, and services for internal use.
• Develops clean, well-documented, medium-complexity code; follows best practices for version control, code review, and deployment.
• Builds and maintains professional documentation for processes, data collection, analyses, and model building.
• Maintains familiarity with current ML developments and third-party frameworks (e.g., PyTorch, TensorFlow, Keras).
• Keeps up-to-date with training in continuous learning and integrates new tools into production environments.
• Manages and coordinates moderately complex tasks, prioritizes work across multiple projects, and provides technical oversight.

Job description

Oracle Corporation is seeking a skilled ML Engineer to turn prototypes into production-ready models and automate ML workflows from ETL to deployment. The role involves collaborating with diverse teams to ensure scalable, reliable model integration and ongoing performance monitoring.

Responsibilities include building infrastructure for model performance, addressing data quality issues, and maintaining documentation and code quality.