MLOps Engineer (QA)

Power International Holding
Qatar
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["CI/CD","REST APIs","Model servers","Data pipelines","Documentation","Version control"]

Integrate machine learning models into multiple environments with a focus on CI/CD deployment, monitoring, and reliability. Build and maintain ML pipelines, manage model versions, ensure reproducibility, and optimize deployment processes across cloud or on‑prem environments to scale models efficiently.

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Power International Holding
Power International Holding
2 months ago

MLOps Engineer (QA)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Closed

Job Summary

Integrate machine learning models into multiple environments with a focus on CI/CD deployment, monitoring, and reliability. Build and maintain ML pipelines, manage model versions, ensure reproducibility, and optimize deployment processes across cloud or on‑prem environments to scale models efficiently.
Location: Qatar
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop and maintain pipelines for deploying machine learning models into environments by automating the deployment process (CI/CD).
  • •Implement monitoring systems to track performance and health of deployed models and establish alerting mechanisms for anomalies or degradation.
  • •Ensure reproducibility and documentation of experiments and models, including configurations and deployment processes.
  • •Manage machine learning model versioning to enable smooth transitions between versions and maintain clear documentation of configurations and dependencies.
  • •Oversee infrastructure for deploying and operating models, ensuring security, cost-effectiveness, and alignment with ML needs.

Key Requirements

  • •Bachelor's Degree in Information Technology or related field
  • •Minimum 5 years of relevant working experience; GCC experience is a plus
  • •Comprehensive understanding of the end-to-end machine learning lifecycle (training, validation, deployment)
  • •Experience building end-to-end ML deployment pipelines with CI/CD
  • •Knowledge of DevOps practices applied to ML workflows and data engineering concepts
Experience:5+ yearsMachine learningDevOpsData engineering
Education:Bachelor's
Skills:CI/CDREST APIsModel serversData pipelinesDocumentationVersion control
Tech Stack:CI/CDREST APIsModel serversData pipelinesCloudOn-premises

Company Brief

Power International Holding
Diversified holding company investing across construction, real estate, food & beverage, agriculture, industrial services, and energy sectors, operating regional subsidiaries and managing large infrastructure and development projects in the Middle East.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Doha, Qatar
Website