About this role
The Machine Learning Engineer will design, build, and deploy scalable AI/ML infrastructure and robust data pipelines to support jobs-skills intelligence. They will also optimize model performance, implement MLOps processes, and collaborate with cross-functional teams to align technical solutions with business requirements.
Candidates must have strong programming skills in Python and SQL, along with experience in machine learning frameworks and data engineering practices. Proficiency in deploying models in production environments and a solid understanding of ML architecture and data governance are essential.
What they're looking for
PythonSQLMachine LearningData EngineeringTensorFlowPyTorchScikit-learnCI/CD
Frequently asked questions
What does a Machine Learning Engineer, National Job-Skills Data Office (SIPD) at Public Service Division do?
The Machine Learning Engineer will design, build, and deploy scalable AI/ML infrastructure and robust data pipelines to support jobs-skills intelligence. They will also optimize model performance, implement MLOps processes, and collaborate with cross-functional teams to align technical solutions wit…
What skills does this Machine Learning Engineer, National Job-Skills Data Office (SIPD) role need?
Key skills for this role include Python, SQL, Machine Learning, Data Engineering, TensorFlow, PyTorch.
How much does a Machine Learning Engineer, National Job-Skills Data Office (SIPD) at Public Service Division pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer, National Job-Skills Data Office (SIPD) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer, National Job-Skills Data Office (SIPD) role?
You can apply directly on Public Service Division's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.