Production ML Engineer: Scalable AI & Pipelines

Changi Airports International Pte Ltd; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Changi Airports International Pte Ltd is seeking a Machine Learning Engineer to design and deploy AI solutions at scale, turning business needs into production-ready models and robust ML pipelines. In this role you will collaborate with data engineers and software teams, build end-to-end ML workflows, and apply modern AI approaches including computer vision and NLP to real-world airport data.

You will champion MLOps, monitor model performance, and ensure governance, security, and best practices

Qualifications

• End-to-end ML lifecycle understanding from data prep to deployment.
• Production-grade ML systems and robust pipelines.
• Experience with data processing of large-scale datasets.
• Familiarity with CI/CD and software testing.
• Experience with cloud platforms (AWS, Azure, or GCP).

Responsibilities

• Design, develop, and deploy ML models into production.
• Build scalable ML pipelines for ingestion, training, evaluation, deployment, monitoring.
• Collaborate with cross-functional teams to translate business needs into AI/ML solutions.
• Optimize models for performance, scalability, and reliability.
• Implement MLOps practices including CI/CD and experiment tracking.
• Monitor drift and model performance post-deployment.
• Develop AI capabilities across CV, NLP, and generative AI domains.
• Ensure data governance, security, and best engineering practices.

Skills

Programming skills

Software engineering

ML engineering experience

Cloud platforms experience

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/Data Science

Tools

PyTorch

scikit-learn

LangChain

APIs

Containers

Kubernetes

Job description

Changi Airports International Pte Ltd is seeking a Machine Learning Engineer to design and deploy AI solutions at scale, turning business needs into production-ready models and robust ML pipelines. In this role you will collaborate with data engineers and software teams, build end-to-end ML workflows, and apply modern AI approaches including computer vision and NLP to real-world airport data.

You will champion MLOps, monitor model performance, and ensure governance, security, and best practices