AI/ML Ops Engineer

Dubai
DH 216,000-240,000 per year
Permanent
Full-time

30 days ago
Apply easily

You will be at the core of designing, deploying, and maintaining robust AI/ML solutions in production, with a strong focus on pricing models, demand forecasting, route optimisation, and real-time logistics decision-making.Working closely with Data Science, Engineering, and Product teams, you'll ensure models are production-ready, scalable, and delivering measurable impact.

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.

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.

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.

A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.Opportunity to work at the intersection of AI innovation and real-world logistics challenges.

Michael Page