Data Science & Machine Learning Lead
Tasks
- Build, train, and optimize machine learning models
- Conduct error analysis bias checks and explainability
- Design evaluation validation strategy and metrics
- Develop classification regression clustering and forecasting models
- Develop feature engineering pipelines
- Develop time series and NLP models
- Drive machine learning lifecycle from exploration to validation
- Identify AI opportunities and contribute to roadmap planning
- Lead end-to-end model development
- Perform data exploration and data quality assessment
- Translate business problems into machine learning solutions
Perks/Benefits
- Accidental insurance
- Adoption leave
- Childcare support
- Education assistance program
- Emergency leave days
- Gratuity
- Home office setup support
- Leave entitlement
- Maternity leave
- Medical insurance
- Paternity leave
- Well-being support
Skills/Tech-stack
AWS | Azure | Azure Databricks | Bias detection | Classification | Cloud platform | Clustering | Data Exploration | Data Pipelines | Data Quality | Deep learning | Feature Engineering | Forecasting | Google Cloud | Google Cloud Platform | Language Processing | Machine Learning | Model Explainability | Model Validation | Natural Language | Natural Language Processing | Python | Regression | Series analysis | Statistical Analysis | Time Series | Time Series Analysis
Education
N/A
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