AI Engineer
Hutchison Ports Limited
- Tsing Yi, Hong Kong
- Permanent
- Full-time
- Model Development: Design and develop AI/ML models to optimize terminal operations, e.g. Dwell Time Prediction, Yard Planning and Usage Optimization, and Resource Allocation Automation (e.g. Cranes, Internal Tractors, etc).
- Data Analysis: Collect, preprocess, and analyze large datasets from terminal operations to identify patterns and provide insights and recommendations.
- Automation: Implement AI-driven solutions for automating processes such as berth allocation, crane job assignment, and traffic flow within the terminal.
- Real-Time Systems: Develop and deploy real-time AI models for dynamic decision-making in terminal operations, such as Congestion Prediction and Shortest Route calculation.
- Performance Monitoring: Monitor and evaluate the performance of deployed models, ensuring Accuracy, Scalability, and Reliability in production environment.
- Research and Innovation: Stay updated on the latest advancements in AI/ML and propose innovative solutions to improve operational efficiency and sustainability.
- Collaboration: Work closely with cross-functional teams, including data scientists, data engineers, software engineers, and operations managers, to integrate AI/ML solutions into existing systems.
- Bachelor’s degree in an IT-related discipline. Data Science, Artificial Intelligence, Machine Learning, or a related field is a plus
- 6+ years of experience in developing and deploying AI/ML models in real-world applications
- Experience with Time-Series data, CV (Computer Vision), NLP (Natural Language Processing and Prompt Engineering are a plus
- Familiarity with logistics, supply chain, or terminal operations is highly desirable
- Proficiency in Python, R, or similar programming languages
- Strong experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with specific models like LLM (Large Language Model), LSTM (Long Short-Term Memory), ARIMA (Autoregressive Integrated Moving Average), XGBoost, Random Forest, RL (Reinforcement Learning), GNNs (Graph Neural Networks), CNNs (Convolutional Neural Networks), ANNs (Artificial Neural Networks) or anomaly detection models (e.g. Autoencoders, Isolation Forests)
- Knowledge of big data tools (e.g. Hadoop, Spark, Databricks) and cloud platforms (e.g. AWS, Azure, Google Cloud)
- Experience with database systems (SQL, NoSQL) and data preprocessing techniques
- Experience with IoT and sensor data integration is a plus
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, dynamic environment
- Fluent in written and verbal English, demonstrated communications and stakeholder management skills
Please send your full resume, current and expected salary to [email redacted, apply via Company website]. For further information, please visit our website at https://hutchisonports.comWe are an equal opportunity employer and welcome applications from all qualified candidates. Personal data collected will be treated in the strictest confidence and handled confidentially by authorised personnel for recruitment-related purposes only within the Hutchison Ports Group of companies. Applicants not having heard from us within six weeks of the date of application may consider their applications unsuccessful. All personal data of unsuccessful applicants will be destroyed within 12 months from the date of application.
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