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We are seeking a Machine Learning Engineer to design and deploy next‑generation AI and machine learning solutions at scale. This role focuses on building production‑ready models, robust ML pipelines, and modern AI capabilities that translate business needs into real‑world impact.
Key Responsibilities
Key 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
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 3+ years of experience in machine learning engineering, AI engineering, or related roles
- Strong programming and software engineering skills
- Hands-on experience with machine learning and modern AI/agentic frameworks (e.g., PyTorch, scikit-learn, LangChain, or similar)
- Understanding of the end-to-end machine learning lifecycle, including data preparation, model development, evaluation, deployment, and monitoring
- Understanding of software engineering best practices (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 with data processing tools and large-scale data systems
- Experience building and deploying machine learning models in production environments
- Experience deploying applications using APIs, containers, and orchestration tools
- Familiarity with cloud platforms (AWS, Azure, or GCP)
Key Skills
Ranked by relevance
machine learning
ai
natural language processing
computer vision
pytorch
cloud
mlops
cicd
aws
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- Posted
- May 19, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
- Changi Airport Group
Industries
Aviation
Aerospace Component Manufacturing
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist (Manager), Airport Operations Technology & Corporate IT
2026-05-26
Full-time
Not Applicable
Singapore
Aviation
Engineering
View Job Details
Related
Data Scientist (Marketing)
2026-05-21
Full-time
Not Applicable
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Engineering
View Job Details
Related
Data Scientist Lead
2026-05-23
Full-time
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