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Job description / Role
• Develop and implement complex mathematical models to address operational challenges in container terminal management, logistics, and transportation.
• Apply operational research methodologies to solve intricate business problems, such as resource allocation, scheduling, and route optimization.
• Lead efforts to optimize Container/cargo/resources scheduling, vessel/yard planning and management, gate operations, and equipment allocation and other logistics supporting entities through data-driven approaches.
• Utilize machine learning techniques to create predictive models that optimize resource allocation, reduce bottlenecks, and improve overall efficiency.
• Conduct in-depth data analysis to identify patterns, anomalies, and opportunities for optimization within large datasets.
• Explore the potential of technologies such quantum computing to solve complex optimization problems that are beyond the capabilities of classical computing.
• Collaborate closely with cross-functional teams, including data engineers, software developers, and domain experts, to implement and deploy optimization solutions.
• Create informative data visualizations and dashboards to communicate optimization results and insights to stakeholders.
• Conduct Research & Stay updated with the latest developments in operational research, optimization techniques, and optimization technologies to drive innovation within the company.
• Continuously evaluate the performance of optimization models and algorithms, fine-tuning them for real-world deployment and guide the Team during any assigned project
Salary:
AED
12,000 to 14,300
per month inclusive of fixed allowances.
Requirements
• Computer system supported with Container Terminal Systems, Logistics Management
• Cloud Computing, Machine Learning, Deep Learning
• Quantum Computing, Geospatial Information, Operational Research, Advanced Analytics, Workflow Automation
• Python, Scikit-learn, PyTorch, Gensim, SpaCy, NLP
• Matplotlib, TextConvertor, TextBlob, Fasttext, TensorFlow
• Microsoft Power BI, MS SharePoint, MS Forms, MS Power Apps, AWS (Amazon Web Services)
• A/B Testing, Google Cloud (Geo-coding service), Cloud Ability, MS SQL Server, PostgreSQL,Advanced MS Excel.
About the Company
We are the leading provider of worldwide smart end-to-end supply chain logistics, enabling the flow of trade across the globe. Our comprehensive range of products and services covers every link of the integrated supply chain - from maritime and inland terminals to marine services and industrial parks as well as technology-driven customer solutions.
We deliver these services through an interconnected global network of 181 business units in 64 countries across six continents, with a significant presence both in high-growth and mature markets. Wherever we operate, we integrate sustainability and responsible corporate citizenship into our activities, striving for a positive contribution to the economies and communities where we live and work.
Our dedicated, diverse and professional team of more than 56,000 employees from 140 nationalities are committed to delivering unrivalled value to our customers and partners. We do this by focusing on mutually beneficial relationships – with governments, shippers, traders, and other stakeholders along the global supply chain – relationships built on a foundation of mutual trust and enduring partnership.
We think ahead, anticipate change and deploy industry-leading digital technology to further broaden our vision to disrupt world trade and create the smartest, most efficient and innovative solutions, while ensuring a positive and sustainable impact on economies, societies and our planet.