ML Ops Engineer — Production ML Pipelines & Analytics

Wynn Al Marjan Island; United Arab Emirates; On-site; AED 350,000 - 640,000; Full time

Benefits offered by this job

Healthcare package

Generous leave policy

Incentive programs

Job summary

Wynn Al Marjan Island is seeking a Machine Learning Operations Engineer to join its Database Marketing team in the United Arab Emirates. The role focuses on deploying and monitoring ML models, operationalizing data science outputs, and ensuring reliable model workflows across marketing and analytics.

The ideal candidate has 5+ years of experience in ML, data engineering, and production ML environments, with strong Python and SQL skills, Airflow, and cloud platforms.

Qualifications

• Master’s or PhD in Computer Science, Engineering, Data Science, Statistics or a related technical field.
• 5+ years of experience in Data Science, ML Ops, data engineering, or production-level ML environments.

Responsibilities

• 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.

Skills

Python

SQL

Git

Education

Master’s or PhD in Computer Science, Engineering, Data Science, Statistics or related field

Tools

Airflow

Job description

Wynn Al Marjan Island is seeking a Machine Learning Operations Engineer to join its Database Marketing team in the United Arab Emirates. The role focuses on deploying and monitoring ML models, operationalizing data science outputs, and ensuring reliable model workflows across marketing and analytics.

The ideal candidate has 5+ years of experience in ML, data engineering, and production ML environments, with strong Python and SQL skills, Airflow, and cloud platforms.