Responsiblities
Assist in Model Development: Support the development of machine learning models by gathering data, preprocessing datasets, and conducting exploratory data analysis (EDA) to identify patterns and insights.
Implement Machine Learning Algorithms: Collaborate with senior machine learning engineers to implement, train, and fine-tune machine learning algorithms. Experiment with different models and techniques to optimize performance.
Data Collection and Cleaning: Help collect, clean, and organize large datasets from various sources. Ensure the data is ready for model training by handling missing values, normalizing, and transforming features as needed.
Model Evaluation and Testing: Assist in evaluating model performance using appropriate metrics (e.g., accuracy, precision, recall, F1-score) and help with tuning hyperparameters to improve results.
Collaborate on Model Deployment: Work with the engineering team to package models for deployment, ensuring that they are production-ready. Help in testing models in real-world scenarios and monitoring performance.