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Machine Learning Engineer
ICT
💰 Salary Not shared
📊 Market NA
About the Company
Exceptional People, Connecting Lives Changi Airport Group (CAG) is the manager of Singapore Changi Airport, a leading air hub in Asia and one of the world's most awarded airports. As airport manager, CAG performs the key functions of airport operations, air hub development, retail and commercial activities, infrastructure development and airport emergency services. CAG also manages Seletar Airport, and through its subsidiary, Changi Airports International, it takes Changi's presence beyond Singapore's shores through consultancy projects and investments in foreign airports. Employing more than 2,000 staff across its diverse business functions, CAG was named the 'Most Attractive Employer' by Randstad in 2016, 2018 and 2025. Aviation and Aerospace Component Manufacturing Specialties: Airport Management, Air Hub Development, Commercial, Airport Emergency Services, Engineering, Infrastructure Development
About the Job
This role focuses on building production-ready models, robust ML pipelines, and modern AI capabilities that translate business needs into real-world impact.
Role & Responsibilities
- ● Design, develop, and deploy machine learning models and AI systems into production
- ● Build and maintain scalable ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring
- ● Collaborate with cross-functional teams to translate business requirements into AI/ML solutions
- ● Optimise models and systems for performance, scalability, and reliability in production environments
- ● Implement MLOps best practices including CI/CD, model versioning, experiment tracking, and automated retraining
- ● Monitor and maintain model performance, including handling drift and system reliability
- ● Develop and integrate AI capabilities across domains such as computer vision, natural language processing, and modern approaches including generative AI or agent-based systems where applicable
- ● Ensure adherence to data governance, security, and best engineering practices
Requirements
Education
- ● Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Experience
- ● At least 3 years of experience in machine learning engineering, AI engineering, or related roles
- ● Hands-on experience with machine learning and modern AI/agentic frameworks such as PyTorch, scikit-learn, LangChain, or similar
- ● Experience with data processing tools and large-scale data systems
Skills
- ● Strong programming and software engineering skills
- ● Understanding of the end-to-end machine learning lifecycle, including data preparation, model development, evaluation, deployment, and monitoring
- ● Understanding of software engineering best practices including testing, version control, CI/CD
- ● Familiarity with a range of machine learning techniques across domains such as computer vision, natural language processing, and/or generative AI
- ● Experience building and deploying machine learning models in production environments
- ● Experience deploying applications using APIs, containers, and orchestration tools
- ● Familiarity with cloud platforms such as AWS, Azure, or GCP
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