About the Role
- Model Development: Design, build, and maintain scalable machine learning models and algorithms.
- Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.
- Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.
- Deployment: Deploy models into production and integrate them with existing systems.
- Monitoring & Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant.
- Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
- Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack.
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