Key Responsibilities:Design, train, and optimize machine learning models using Python frameworks like TensorFlow, PyTorch, Scikit-learn for tasks such as classification, regression, natural language processing (NLP), and computer vision.Clean, transform, and prepare large datasets for machine learning model training, including feature engineering and data augmentation techniques.Assess model performance using metrics like accuracy, precision, recall, and F1-score; identify and address overfitting issues, and implement techniques to improve model efficiency.Develop RESTful APIs to expose trained AI models for integration into other applications or services.Deploy AI models to production environments using cloud platforms like AWS, Azure, or GCP, including containerization and scaling. Required Skills:Expert-level proficiency in Python with a strong understanding of data structures, algorithms, and object-oriented programming.Deep knowledge of TensorFlow, PyTorch, Scikit-learn, and related libraries for AI development.Familiarity with data manipulation and visualization libraries like Pandas, NumPy, and Matplotlib.Experience with cloud platforms like AWS, Azure, or GCP for model training, deployment, and scaling.Knowledge of version control systems (Git), Agile methodologies, and best practices for software development
