Machine Learning Operations Engineer - Database Marketing

Wynn Al Marjan Island

The primary duties and responsibilities of this role are:

• Deploy, monitor, and maintain machine learning models used across gaming marketing and player analytics.

• Operationalize Data Science outputs by building automated pipelines for scoring, segmentation, and campaign ready datasets.

• Ensure high reliability and uptime for model workflows, including job scheduling, error detection, and alerting.

• Collaborate with Data Scientists to productionize new models, optimize runtime performance, and improve stability.

• Build and maintain data pipelines supporting model features, input refreshes, and scheduled scoring processes.

• Implement QA processes to identify data drift, model degradation, and operational anomalies.

• Maintain version control and documentation for models, pipelines, and deployment procedures.

• Partner with Campaign Operations to ensure model outputs align with business logic, targeting requirements, and production schedules.

• Work with IT and infrastructure teams on compute resources, storage, and system performance.

• Support model retraining cycles, testing, and controlled rollouts of updated logic.

• Ensure compliance with internal data governance and security standards.

About You:

• Master s or PhD in Computer Science, Engineering, Data Science, Statistics or a related technical field required.

• 5+ years of experience in Data Science, ML Ops, data engineering, or production level machine learning environments.

• Strong experience with Python, SQL, and workflow orchestration tools (Airflow or similar).

• Experience working with cloud-based data platforms.

• Familiarity with machine learning model lifecycle management, CI/CD pipelines, and version control (Git).

• Able to translate analytical requirements into stable, production ready workflows.

• Comfortable working in fast paced environments with daily and weekly operational deliverables.