Machine Learning Engineer - APAC
Malaysia-LN Kuala Lumpur
USD 68K-126K (estimate) Mid-level Full Time
Tasks
- Automate data processing and model deployment pipelines
- Build and develop machine learning models
- Clean transform join raw datasets
- Create agentic workflows for intelligent solutions
- Design and validate experiments
- Document methodology and results
- Evaluate machine learning models
- Implement A B rollouts
- Implement machine learning algorithms
- Monitor model drift and performance
- Optimize and productionize models
- Perform feature engineering
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 | Data pipeline | Data pipeline orchestration | Databricks | ETL | Ensembling | Feature Engineering | Generative AI | Hyperparameter Tuning | Hypothesis Testing | MLflow | Machine Learning | Microsoft Fabric | Model Evaluation | Model Monitoring | NLP | Pipeline Orchestration | Power BI | Precision Recall F1 | Precision-recall | Python | ROC-AUC | Regression | Regularization | SQL | Series analysis | Time Series | Time Series Analysis | Train validation test split | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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