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Job Description

  • 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

  • Bachelors/Masters 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.

Whats 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


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: United Arab Emirates City: Dubai
Company Website: https://redirect.michaelpage.com/mp-home Job Function: Information Technology (IT)
Company Industry/
Sector:
Staffing and Recruiting

What We Offer


About the Company

Welcome to the Michael Page global company profile.Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents. While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.Our teams are broken down to focus on industry, assignment type, salary level and location, so your hiring requirements or job search will all be handled by a specialist who knows your sector inside-out. We are confident that our expertise can add value to your recruitment or job search process – get in touch to find out more.

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