Research & Model Development:
- Design and develop innovative ML models aligned with the company’s strategic objectives.
- Conduct exploratory data analysis, feature engineering, and model specification documentation.
- Implement model optimization techniques to enhance performance and minimize drift.
Model Deployment & Monitoring:
- Ensure seamless MVP finalization and transition of models into production.
- Build robust monitoring pipelines for ongoing model evaluation and reliability.
- Troubleshoot and enhance existing models by integrating new features and improving efficiency.
Cross-Functional Collaboration:
- Work closely with Product Managers, Engineers, and stakeholders to align AI initiatives with business needs.
- Effectively communicate complex data science concepts to non-technical audiences.