Machine Learning Engineer - APAC
Malaysia-LN Kuala Lumpur
USD 82K-171K (estimate) Mid-level Full Time
Tasks
- Automate data processing pipelines
- Automate model deployment and monitoring
- Build machine learning models
- Clean transform join datasets
- Create agentic workflows
- Deploy models on Databricks
- Document model methodology
- Engineer features
- Evaluate model performance
- Implement machine learning algorithms
- Interpret statistical significance
- Manage A B rollouts
- Monitor model drift
- Optimize hyperparameters
- Run model experiments
- Translate technical insights for stakeholders
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Calibration | Classification | Confidence Intervals | Confusion matrix | Cross-validation | Databricks | ETL | ETL Pipelines | Ensembling | F1-score | Feature Engineering | Hyperparameter Tuning | Hypothesis Testing | Machine Learning | Microsoft Fabric | Model Evaluation | Model Monitoring | Power BI | Precision-recall | Precisión | Python | ROC-AUC | Recall | Regression | Regularization | SQL | Statistical significance | Time Series | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Language: en
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