The posting
Company Overview
ALBA W&H Smart City, part of ALBA Group Asia headquartered in Hong Kong, drives zero waste management and circular economy solutions. We partner with stakeholders to deliver sustainable innovations, inviting passionate individuals to join our mission for a better world.
Job Summary
This role applies AI and advanced data analytics to optimize urban waste collection, reduce environmental impact, and enhance operational efficiency in smart city waste systems.
Responsibilities
Data Engineering & Analytics
- Aggregate and preprocess diverse data sets to ensure quality and usability for analysis
- Design and maintain scalable data pipelines to support continuous data flow and integration
- Perform statistical analysis and develop dashboards to visualize key performance metrics for stakeholders
AI & Machine Learning Development
- Develop predictive models to forecast waste collection needs and optimize routing
- Test and deploy AI/ML models on cloud and edge devices to enable real-time decision-making
Stakeholder Collaboration
- Collaborate with operations, sustainability teams, and government authorities to align AI solutions with business and environmental goals
- Translate complex data findings into clear, actionable insights to drive operational improvements
- Participate in pilot programs and public-private partnerships to validate and scale innovative waste management solutions
Required competencies and certifications
Education & Experience
- Master’s or Bachelor’s degree in Data Science, Computer Science, Environmental Engineering, or related field
- Minimum 2 years of experience in data analytics or AI/ML roles, preferably in logistics or urban infrastructure
Technical Skills
- Proficient in Python, SQL, and libraries/tools such as Pandas, Scikit-learn, TensorFlow, or PyTorch for data analysis and model development
- Experienced in building and managing data pipelines and working with cloud platforms like Azure or AWS
- Familiar with geospatial analysis tools and real-time data processing techniques
- Understanding of vehicle routing problems or classification models relevant to waste management
Preferred competencies and qualifications
- Knowledge of Smart Waste standards or industry-specific IoT systems
- Exposure to edge computing or deployment of low-power AI models
Other Information
We offer a competitive package including training and career advancement opportunities. Our culture is collaborative and technology-driven within a diverse, multi-disciplinary environment.
If you are keen to make a measurable impact on sustainability, please apply with a detailed resume including AI projects relevant to urban systems or sustainability.
---



