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 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, implementing evaluation frameworks, and ensuring system robustness through guardrail mechanisms.
The team values diverse backgrounds, fosters a culture of constructive challenge, and offers opportunities to shape the future of AI-enabled 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 global container terminals.
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
PhD in Machine Learning or related quantitative discipline
Key Requirements
5+ years of industry experience in AI/ML
PhD or M.Sc. in Machine Learning or Computer Science