Large language models (llms) and transformer architectures
Retrieval-augmented generation (rag) systems
Python programming and software engineering practices
The role involves designing and building intelligent AI systems including LLM-powered applications and agentic frameworks to enhance operational intelligence for global container terminals
Job Summary
The role involves designing and building intelligent AI systems including LLM-powered applications and agentic frameworks to enhance operational intelligence for global container terminals.
Candidates will be responsible for developing end-to-end GenAI solution lifecycles, from data preparation through deployment, monitoring, and iteration.
The team values diverse backgrounds, fosters a culture of constructive challenge, and seeks individuals who can translate operational challenges into structured AI problem statements.
Matching Summary
The role involves designing and building intelligent AI systems including LLM-powered applications and agentic frameworks to enhance operational intelligence for global container terminals.
Skills & Requirements
Must-have
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
5+ years of industry experience in AI/ML systems
PhD or M.Sc. in Machine Learning, Computer Science, or related field
Strong hands-on experience with Generative AI systems