AI and ML Engineer

Proficient in Python programming for data science and machine learning Experience with ML/DL frameworks such as TensorFlow or PyTorch (basic to intermediate level) Understanding of fundamental machine learning concepts: supervised and unsupervised learning Familiarity with common machine learning models such as linear regression, decision trees, random forests, and clustering algorithms Ability to perform data preprocessing, feature engineering, and exploratory data analysis Knowledge of model evaluation techniques and metrics (e.g., accuracy, precision, recall) Experience with model training, validation, and basic hyperparameter tuning Awareness of best practices in model deployment and monitoring (basic level)