Production ML Engineer: Scalable AI & MLOps

Changi Airport Group (Singapore) Pte. Ltd.; Singapore; On-site; SGD 90,000 - 160,000; Full time

Job summary

Changi Airport Group (Singapore) Pte. Ltd. is seeking a Machine Learning Engineer to design and deploy scalable AI solutions that translate business needs into real-world impact. You will build production-ready models and robust ML pipelines.

You will collaborate with cross-functional teams, optimize for performance, and apply MLOps practices including CI/CD and model versioning across domains like vision and NLP.

Qualifications

• Bachelor's or Master's degree in CS, engineering, or data science.
• 3+ years in ML/AI engineering or related roles.
• Strong programming and software engineering skills.
• Experience with end-to-end ML lifecycle (data, model, evaluation, deployment).
• Familiarity with CI/CD and MLOps practices.

Responsibilities

• Design, develop, and deploy ML models into production.
• Build scalable ML pipelines for ingestion, training, evaluation, deployment and monitoring.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Optimise models for performance, scalability and reliability in production.
• Implement MLOps including CI/CD, versioning and experiment tracking.
• Monitor model performance and drift in live systems.
• Explore AI capabilities across CV, NLP, and generative AI domains.

Skills

Programming skills

ML frameworks

MLE lifecycle

MLOps

Cloud platforms

Data processing

Education

Bachelor/Master degree

Tools

PyTorch

scikit-learn

LangChain

Job description

Changi Airport Group (Singapore) Pte. Ltd. is seeking a Machine Learning Engineer to design and deploy scalable AI solutions that translate business needs into real-world impact. You will build production-ready models and robust ML pipelines.

You will collaborate with cross-functional teams, optimize for performance, and apply MLOps practices including CI/CD and model versioning across domains like vision and NLP.