Machine Learning Engineer - APAC
Malaysia-LN Kuala Lumpur
USD 71K-130K (estimate) Mid-level Full Time
Tasks
- Automate data processing and model deployment pipelines
- Build regression and classification models
- Clean transform and join raw datasets
- Create features using encoding and aggregation
- Deploy and manage model workflows on Databricks
- Design agentic workflows for intelligent solutions
- Design train validation test splits
- Develop reporting and documentation for stakeholders
- Ensemble models and apply regularization
- Evaluate models using precision recall f1 score roc auc and calibration
- Generate confusion matrices and cost sensitive metrics
- Handle missing data and outliers
- Implement model monitoring for drift and performance
- Interpret statistical significance and confidence intervals
- Manage class imbalance
- Perform time-series analysis
- Run cross validation
- Tune hyperparameters and reduce bias and variance
Perks/Benefits
- Family benefits
- Flexible working arrangements
- Learning and development resources
- Sabbaticals
- Study assistance
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Classification | Cross-validation | Data Modeling | Databricks | ETL | Ensembling | Feature Engineering | Generative AI | Hyperparameter Tuning | Machine Learning | Microsoft Fabric | Model Evaluation | Model Monitoring | NLP | Power BI | Python | Regression | Regularization | SQL | Statistical Testing | Time Series | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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