Data Preparation:
• Research, Collect, clean, and preprocess data from various sources to create high-quality datasets for machine learning projects
Model Development:
• Assist in designing, developing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn
Model Training and Evaluation:
• Train machine learning models on large datasets and fine-tune hyperparameters to optimize model performance. Conduct rigorous testing and validation to ensure the accuracy and robustness of models
Feature Engineering:
• Contribute to feature engineering efforts by identifying relevant features and crafting them to improve model performance./
Documentation:
• Maintain comprehensive documentation of code, experiments, and findings to facilitate knowledge sharing within the team.
Collaboration:
• Collaborate with cross-functional teams including
data scientists,
software engineers, and domain experts to develop end-to-end machine learning solutions.
Stay on top of the latest developments in machine learning and Ai by attending seminars, workshops, and self learning
Perform other related tasks as required