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Michael Page

AI/ML Ops Engineer

Michael Page
United Arab Emirates · Full-time · Entry
  • Build and deploy ML models that power real-time, high-impact decisions.
  • Shape the future of pricing, shipping, and logistics with AI at global scale.

About Our Client

A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.

Job Description

  • Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations.
  • Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools.
  • Collaborate with data scientists to take prototypes through to production-grade solutions.
  • Implement automated model monitoring, retraining, and version control processes to ensure performance stability.
  • Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments.
  • Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness.
  • Champion reproducibility, scalability, and operational excellence in AI delivery.

The Successful Applicant

  • Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
  • 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
  • Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions.
  • Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
  • Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure.
  • Experience working with APIs and integrating ML into operational workflows.

What's on Offer

Opportunity to work at the intersection of AI innovation and real-world logistics challenges.

Contact: Manpreet Kaur

Quote job ref: JN-062025-6770435

Key Skills

Ranked by relevance

ai mlops kubernetes prototypes tensorflow kubeflow pytorch python docker mlflow cloud cicd
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Country Guide

United Arab Emirates

Tax-friendly regional tech hub

Posted
Aug 06, 2025
Type
Full-time
Level
Entry
Location
Dubai
Company
Michael Page

Industries

Staffing Recruiting

Categories

Engineering Information Technology

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