Position

We're seeking a highly skilled AI/ML Developer to lead the development of advanced, intelligent systems in logistics and large-scale operations. This role is focused on applying the latest in multi-agent AI, deep learning, and optimization algorithms to transform how logistics ecosystems function — from container scheduling to yard automation.

Location: Dubai, United Arab Emirates (On-site)
Work Condition: Contract

Key Responsibilities:

Design and implement multi-agent AI systems for real-time decision-making in complex logistics environments.
Build end-to-end ML pipelines from data ingestion to deployment, with a focus on performance and scalability.
Apply reinforcement learning, generative AI, and advanced optimization techniques (e.g., OR-Tools, SCIP) to improve resource utilization and throughput.
Develop robust data infrastructure using tools like Kafka, Spark, and Hadoop to support streaming analytics.
Deploy solutions on cloud and hybrid infrastructures with a focus on security, compliance, and uptime.
Collaborate with internal teams and external partners (research labs, startups, etc.) to accelerate innovation.
Contribute to the broader AI strategy and roadmap, aligning with long-term digital transformation goals.

Ideal Candidate Profile:

Proficiency in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.
Solid understanding of agent-based systems, LLMs, NLP, or simulation-based modeling.
Strong problem-solving skills and experience with real-time applications in logistics or operations research.
Knowledge of deploying AI in production environments using AWS, GCP, or on-prem systems.

Language Requirements: Not specified.

Apply now