Machine Learning Engineer - APAC
India-Bengaluru (Helios Business Park)
INR 3000K-4408K (estimate) Mid-level Full Time
Tasks
- Automate data processing and deployment workflows
- Build and train machine learning models
- Clean transform and join datasets at scale
- Design experiments and validate models
- Document methodology assumptions and results
- Engineer features for business outcomes
- Evaluate models using classification metrics
- Monitor models for drift and performance
- Productionize models for reliability and speed
- Select algorithms and optimize hyperparameters
Perks/Benefits
- Family benefits
- 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 Normalization | Databricks | ETL | ETL Pipelines | Ensembling | F1-score | Feature Engineering | Hyperparameter Tuning | Hypothesis Testing | MLflow | Machine Learning | Microsoft Fabric | Model Evaluation | Model Monitoring | Power BI | Precisión | Python | ROC-AUC | Recall | Regression | Regularization | SQL | Time Series | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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