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AI/ML Ops Engineer

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Dubai, United Arab Emirates Qataryello Full time

A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities. 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. 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. #J-18808-Ljbffr