Machine Learning Engineer - APAC
India-Bengaluru (Helios Business Park)
INR 3000K-4408K (estimate) Mid-level Full Time
Tasks
- Automate data processing and model workflows
- Clean transform join raw datasets
- Collaborate with data scientists on validation
- Conduct experiments and cross validation
- Design & develop machine learning models
- Document methodology and assumptions
- Evaluate models with statistical metrics
- Handle missing data and outliers
- Implement machine learning algorithms
- Implement model deployment pipelines
- Monitor model drift and performance
- Optimize hyperparameters and reduce bias and variance
- Perform feature engineering and feature selection
- Tune hyperparameters apply regularization and ensembling
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 | Classification | Cross-validation | Data Drift | Data drift monitoring | Data pipeline | Data pipeline orchestration | Databricks | Drift monitoring | ETL | Encoding | Ensembling | F1-score | Feature Engineering | Generative AI | Hyperparameter Tuning | Hypothesis Testing | MLflow | Machine Learning | Microsoft Fabric | Model Monitoring | NLP | Pipeline Orchestration | Power BI | Precisión | Python | ROC-AUC | Recall | Regression | Regularization | SQL | Series analysis | Time Series | Time Series Analysis | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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