Design and build machine learning (ML) and deep learning (DL) models

Work with frameworks like TensorFlow, PyTorch, Scikit-learn

Train, test, and optimize models for accuracy and performance

Collect and clean structured/unstructured data

Perform data preprocessing and feature engineering

Work with large datasets using SQL, Python, or big data tools

Develop AI algorithms such as:

• Natural Language Processing (NLP)

• Computer Vision

• Recommendation Systems

Improve model efficiency and scalability

Deploy AI models into production environments

Integrate AI solutions with web ...