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Tier-1 brand plus mid-level GenAI role with broad production requirements attracts high applicant density.
Core GenAI and production ML skills transfer across industries; logistics domain knowledge is optional.
Mandatory 5+ years plus production GenAI, software engineering, and deployment skills create strict filters.
Design, implement, and deploy production-grade Generative AI solutions to optimize container terminal operations and automate complex workflows.
Build and maintain end-to-end GenAI systems including LLM-powered agents, retrieval-based reasoning, semantic search, and robust evaluation frameworks.
Collaborate with stakeholders to translate operational challenges into AI problem statements and own solution delivery within architectural and engineering standards.
5+ years of industry experience in building and deploying production-grade AI/ML systems, with strong hands-on experience in Generative AI.
PhD or M.Sc. in Machine Learning, Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative discipline, or equivalent experience.
Strong proficiency in Python and software engineering practices including OOP, design patterns, testing, version control, and scalable system design.
Experience with cloud environments, CI/CD pipelines, containerization (Docker), and solution deployment in agile settings.
Expertise in large language models, transformer architectures, retrieval-augmented generation, prompt engineering, and AI agents.
Demonstrated ability to design and operate AI systems with rigorous evaluation for reliability, latency, cost-efficiency, and hallucination risk.
Experience in logistics, scheduling, or operational optimization domains and comfort working with complex, global terminal operations environments.