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14-18 years of work experience of Operational Research & Industrial Engineering, within logistics fields with a 5 years of hands on leveraging Ai and optimization related libraries experience
- Develop multi-agent AI frameworks geared toward container terminal operations and large-scale logistics optimization.
- Design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and real-time model deployment.
- Optimize machine learning and deep learning algorithms for scheduling, resource allocation, and route planning in port environments.
- Research and evaluate emerging AI techniques (e.g., generative models) to identify potential improvements in logistics workflows.
- Collaborate with cross-functional teams to integrate AI solutions seamlessly into existing operational and IT infrastructures.
- Build and maintain robust data pipelines (data lakes, streaming frameworks) using Spark, Hadoop, and Kafka for large-scale data handling.
- Deploy AI solutions on both cloud platforms (AWS, GCP) and on-premises infrastructures, ensuring reliability, security, and compliance in high-volume environments.
- Implement and fine-tune optimization models and solvers (OR TOOLS, COIN OR, SCIP etc.) for complex port planning and container yard operations.
- Conduct in-depth research and prototyping in reinforcement learning, agent-based modeling, and specialized ML techniques.
Key Skills
Ranked by relevance
ai
machine learning
deep learning
prototyping
hadoop
kafka
cloud
spark
aws
gcp
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- Posted
- Mar 17, 2025
- Type
- Contract
- Level
- Not Applicable
- Location
- Dubai
- Company
- Dicetek LLC
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-24
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C++ Developer - Trading - New York
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