Maltem Singapore is seeking a Machine Learning Engineer for a Wealth Management Client.
Summary :
- The successful candidate will be supporting the Data Ecosystem project.
Requirements :
- Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
- Proven experience in developing and deploying machine learning solutions using :
- SageMaker
- Python
- TensorFlow
- PyTorch
- Scikit-learn, or other frameworks and libraries.
- Solid understanding of machine learning concepts, techniques, and best practices such as :
- Data Preprocessing
- Feature Engineering
- Model selection
- Hyperparameter Tuning
- Validation
- Testing
- Challenger models
- MLOps.
- Hands on experience in NLP use cases.
GOOD-TO-HAVE :
- Exposure in Snowflake.
- Exposure in CI/CD tooling.
