5+ years industry experience building ai/ml systems
Large language models (llms) and transformer architectures
Retrieval-augmented generation (rag) systems
The role involves designing and building intelligent AI systems, including LLM-powered applications and agentic frameworks, to enhance operational intelligence for container terminals globally
Job Summary
The role involves designing and building intelligent AI systems, including LLM-powered applications and agentic frameworks, to enhance operational intelligence for container terminals globally.
Candidates will develop enterprise-grade Generative AI solutions that directly impact terminal operations, optimizing yard flows, vessel operations, and decision-making processes.
The team fosters a culture of trust, constructive challenge, and thoughtful debate while valuing diverse backgrounds and perspectives to solve complex challenges in global trade infrastructure.
Matching Summary
The role involves designing and building intelligent AI systems, including LLM-powered applications and agentic frameworks, to enhance operational intelligence for container terminals globally.
Skills & Requirements
Must-have
5+ years industry experience building AI/ML systems
Large Language Models (LLMs) and Transformer architectures
Retrieval-Augmented Generation (RAG) systems
Python programming and software engineering practices
Cloud environments and CI/CD pipelines
Docker containerization and monitoring
Nice-to-have
Experience with vector databases and semantic indexing
Domain experience in logistics or operational optimization
Exposure to AI observability and governance practices
Integration of GenAI with simulation models
Key Requirements
PhD or M.Sc. in Machine Learning, Computer Science, or related quantitative discipline
5+ years of industry experience in production-grade AI/ML systems
Strong proficiency in Python and object-oriented programming