Machine Learning Engineer - APAC
Tasks
- Automate data and model workflows
- Clean transform join datasets
- Collaborate with data scientists and stakeholders
- Create agentic workflows for autonomous solutions
- Design experiments and validation
- Develop machine learning models
- Document methodology assumptions and results
- Engineer features
- Evaluate models using metrics
- Implement machine learning algorithms
- Implement monitoring for drift and performance
- Manage A B rollouts
- Optimize and productionize models
- Tune hyperparameters
Perks/Benefits
- Benefits for family
- Flexible working arrangements
- Learning and development resources
- Sabbaticals
- Study assistance
- Wellbeing initiatives
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Calibration | Classification | Confusion matrix | Cross-validation | Data Drift | Data Modeling | Data drift monitoring | Data pipeline | Data pipeline orchestration | Databricks | Drift monitoring | ETL | ETL Pipelines | Ensembling | F1-score | Feature Engineering | Generative AI | Hyperparameter Tuning | Hypothesis Testing | MLflow | Machine Learning | Microsoft Fabric | Model Monitoring | NLP | Pipeline Orchestration | Power BI | PowerApps | Precisión | Python | ROC-AUC | Recall | Regression | Regularization | SQL | Series analysis | Statistical significance | Time Series | Time Series Analysis | Train Validation Test | 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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