Machine Learning Engineer, National Job-skills Data Office (sipd)
tech.gov.sg
Singapore
Python and sql programming
Tensorflow, pytorch, or scikit-learn
Deploying ml models in production
As a Machine Learning Engineer, you will be a key member of the Data Management and Operations team, designing, building and deploying scalable machine learning systems that power real-world applications
Job Summary
As a Machine Learning Engineer, you will be a key member of the Data Management and Operations team, designing, building and deploying scalable machine learning systems that power real-world applications.
You will be creating robust data pipelines and integrating models into production environments.
The National Jobs-Skills Data Office, under the Skills Intelligence and Planning Division, serves three core functions: Data and Algorithms Innovation and R&D; Jobs-Skills Product Management, Development and Delivery; and Data Management and Operations.
Matching Summary
As a Machine Learning Engineer, you will be a key member of the Data Management and Operations team, designing, building and deploying scalable machine learning systems that power real-world applications.
Skills & Requirements
Must-have
Python and SQL programming
TensorFlow, PyTorch, or scikit-learn
Deploying ML models in production
CI/CD practices and containerization
Large-scale data processing workflows
ML model monitoring and retraining
Nice-to-have
User-centered approach
Cross-functional collaboration
Explaining technical concepts clearly
Fast-paced, collaborative environments
Key Requirements
Proficiency in data engineering practices
Experience deploying ML models in production
Hands-on experience with large datasets and cloud platforms