The AI Data Engineer is a critical role that bridges the gap between data science and engineering, enabling the development and deployment of data assets with integrated models. This role is responsible for building and maintaining the data infrastructure and pipelines that power AI and machine learning applications. As an AI Engineer, you will be at the forefront of technological innovation, working with advanced tools and platforms to transform and optimize data processes.

Key Responsibilities:

• Data Ingestion and Processing: Design and implement robust data pipelines to collect, clean, transform, and store large volumes of data from diverse sources.
• Data Preparation: Preprocess and transform data into formats suitable for machine learning algorithms.
• Feature Engineering: Develop and select relevant features that improve the performance of machine learning models.
• Data Support for Models: Collaborate with Data Scientis...