Jurong Port’s multipurpose port operating expertise includes efficient handling of general, bulk and containerized cargo, management and operations of the Tuas Offshore Marine Centre, and Lighter Terminals in Penjuru and Marina South. Besides Singapore, Jurong Port is involved in overseas joint ventures in China and Indonesia. In 2016, Jurong Port’s local and overseas terminals handled close to 35 million tons of general and bulk cargo, and 560,000 TEUs of container cargo.
Overview:
As an Associate AI & Data Engineer in Jurong Port, you’ll contribute to solutioning and integration of cutting-edge AI technologies into our daily operations across diverse business units. You will be a key driver in the organisation’s AI & Data Management roadmap, fostering a culture of innovation and continuous adaptation. This is an exciting opportunity to apply generative AI and agentic AI techniques in addition to Data engineering techniques to build agents that learn, adapt, and act in realistic, human-like ways.
Key Responsibilities:
- Vendor management and assessment of AI, Data (Big Data included) models and architectural design solutions based on business requirements, optimizing applications in areas such as NLP, computer vision, chatbots and Large Language Models (LLM).
- Optimise data pipeline for performance, scalability, and real-time processing.
- Define clear objectives, model evaluation metrics and deployment strategies for AI solutions & Data Products and services for integration into business processes.
- Experiment and evaluate state-of-the-art and in-house generative AI models and AI agents, analyze performance, and iterate based on findings.
- Collect feedback from users to continuously refine AI tool deployment and adoption strategies.
- Collaborate closely with product, frontend, backend, and data teams to efficiently implement AI-powered features.
- Conduct data and AI workshops/ trainings to cultivate JP staffs in using analytical and AI tools for operations and planning.
- Participate in AI security and compliance assessments to ensure compliance with data privacy regulations and industry standards.
- Communicate technical AI concepts clearly to cross-functional teams and stakeholders.
- Research new AI technologies and tools, driving the innovative application of AI in the product.
- Generate and implement relevant codes for data transformation (ETL), normalisation and aggregation tasks with relevant Data quality monitoring recommendations.
Key Deliverables
- Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.
- Develop and execute comprehensive AI deployment and maintenance strategies and plans for AI tool adoption, tailored to the unique needs of different business units.
- Develop, document and deploy relevant data models for the purpose of data management, analysis and visualisation in line with business needs.
Qualifications:
- Bachelor degree in Applied AI/ML, Data Science, Computer Science or a related field.
- Strong foundation in Python, with experience using AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Strong foundation in programming languages such as Python, SQL or Java.
- Experience with LLMs, generative AI (OpenAI, LangChain), or deep learning will be a plus.
- Relevant certifications in AI/ML fundamentals or cloud platforms (e.g.,AWS Certified Machine Learning, Google Cloud AI Engineer).
- Strong analytical mindset with problem-solving skills, adaptable, eager to learn, and enthusiastic about new technologies.
Benefits:
- Hands-on experience working with state-of-the-art AI tools that are critical for organization's success in 5-years AI roadmap.
- Mentorship and guidance from experienced AI & data management professionals.