This role spearheads the research, development, and deployment of advanced AI solutions, with a strong focus on multi-agent systems (agenticAI), deep learning, and cutting-edge AI-driven optimizations for port and terminal logistics.

Responsibilities include designing and implementing full-stack AI models, orchestrating AI agents for resource allocation and scheduling, exploring emerging technologies such as quantum computing and generative AI, and managing strategic collaborations with startups, vendors, and academic institutions. Through technical leadership, partnership development, and continuous innovation, this position ensures the seamless integration of breakthrough AI technologies into logistics and container terminal operations, driving measurable efficiency gains and supporting the organization's digital transformation goals.

Tools and Technologies:

The ideal candidate will have extensive expertise in Python and leading AI/ML libraries (e.g., TensorFlow, PyTorch, Scikitlearn) and will be adept at open-source optimization (e.g., Pyomo, OR-Tools) to handle complex scheduling, routing, and resource allocation tasks. Data engineering proficiency—including Apache Spark, Hadoop, and Kafka—is paramount for building and managing data lakes that store both structured and unstructured data, supporting real-time data processing and analytics. This individual should also have experience deploying AI solutions in on-premises (Docker, Kubernetes) and cloud environments (AWS, GCP) with strong knowledge of DevOps (CI/CD, Git), security, and performance optimization. Familiarity with LLM and NLP frameworks such as SpaCy and NLTK is critical for developing GenerativeAI, chatbots, and automated customer service systems. Ultimately, expertise in a broad range of data engineering and AI technologies is essential for driving innovation and optimizing planning processes within the logistics industry, particularly in port and terminal operations.

Education and Experience:

- Essential: Master in Artificial intelligence, Computer Science with a strong emphasis on optimization modeling.

- Desirable: Specialization in large logistics entities

- 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

Location- Dubai (We are open to consider candidates who are willing to relocate)

Joining period- Within 30 days