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.
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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.
