Key responsibilities may include:
- Model Development: Designing and building machine learning models using various algorithms.
- Data Preprocessing: Cleaning, transforming, and preparing data for model training.
- Model Training & Evaluation: Training and evaluating machine learning models to ensure accuracy and performance.
- Deployment & Monitoring: Deploying trained models into production and monitoring their performance.
- Algorithm Development: Researching and developing new machine learning algorithms.
- Collaboration: Working with data scientists and other engineers to implement machine learning solutions.
