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Machine Learning Operations Engineer - Database Marketing

Unlock employer United Arab Emirates Direct to Company 1 hour ago · 28 Sep 2026

Financial

  • Estimate: $60k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Role:

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The company is seeking a Machine Learning Operations Engineer to join our Database Marketing team. This role is pivotal in deploying, monitoring, and maintaining machine learning models applied across gaming marketing and player analytics.

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.

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.

Benefits: We offer an attractive salary paid in Dirhams (AED), the local currency of the UAE, along with an excellent leave policy, a healthcare package, incentive programs, and other employee benefits. This comprehensive package is designed to attract outstanding applicants seeking a rewarding career with the company.

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