Machine Learning Engineer - APAC
Malaysia-LN Kuala Lumpur
USD 71K-131K (estimate) Mid-level Full Time
Tasks
- Automate data processing and model deployment pipelines
- Clean transform and join datasets at scale
- Collaborate with data scientists on model design
- Conduct model experiments and validation
- Create agentic workflows for intelligent solutions
- Design and develop machine learning models
- Document methodology and business impact
- Engineer features for predictive modeling
- Evaluate models using statistical metrics
- Implement machine learning algorithms
- Monitor model drift and performance
- Optimize model hyperparameters
- Productionize machine learning models
Perks/Benefits
- Benefits for family
- Flexible working arrangements
- Learning and development resources
- Sabbaticals
- Study assistance
- Wellbeing initiatives
Skills/Tech-stack
CI/CD | Calibration | Classification | Confusion matrix | Cross-validation | Databricks | ETL | Ensembling | F1-score | Feature Engineering | Generative AI | Hyperparameter Tuning | Hypothesis Testing | MLflow | Machine Learning | Microsoft Fabric | Model Monitoring | NLP | Power BI | Precisión | Python | ROC-AUC | Recall | Regression | Regularization | SQL | Series analysis | Time Series | Time Series Analysis | Train Validation Test | Train validation test splits | Version control | Workflow automation
Education
Regions
Countries
States
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