AI Engineer

Responsibilities

• Design, develop, and maintain automated machine learning (ML) pipelines to streamline data processing, model training, evaluation, and deployment
• Research, evaluate, and implement appropriate deep learning (DL) algorithms and architectures to address specific business and technical challenges.
• Process, analyze, and manage large-scale datasets to train, fine-tune, and optimize machine learning and deep learning models.
• Design and conduct machine learning experiments, evaluate model performance using appropriate metrics, and iteratively improve model accuracy, efficiency, and reliability.

Requirements

• Proficiency in writing high-quality, reliable, efficient, and maintainable code in Python.
• Strong knowledge of machine learning and deep learning frameworks, such as PyTorch and Keras, and libraries such as scikit-learn.
• Hands-on experience in processing, analyzing, and preparing large-scale datasets, as well as training and evaluating machine learning models.
• A bachelor’s degree or higher in Computer Science, Mathematics, Artificial Intelligence, or a related field is an advantage.