Machine Learning Operations Engineer - Database Marketing

Job Description

About Wynn Al Marjan Island:
On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five‑star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

Wynn Al Marjan Island is looking for a Machine Learning Operations Engineer to join our Database Marketing team.

• 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 product ionize 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.

• 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.

We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.