As an AI Data Engineer, you'll create and manage data pipelines that support advanced analytics and machine learning. This role is perfect for someone with a strong background in data engineering and a passion for AI innovation.
In this role, you'll be responsible for creating AI-ready datasets that empower data scientists and AI engineers. Your main task will be to design and build data pipelines that are both scalable and secure, ensuring that the data is ready for advanced analytics and machine learning applications.
You'll work closely with various teams, including AI Platform Engineering and MLOps, to develop data engineering capabilities that drive AI innovation. Your responsibilities will include ensuring high-quality data platforms that support both real-time and batch processing, while also adhering to enterprise governance and privacy standards.
This position is ideal for someone with a solid background in data engineering, particularly in a financial technology context. You should have experience in designing data pipelines and developing data products, as well as a strong understanding of data governance practices.
Key requirements for this role include: • Proven experience in data pipeline design and development • Familiarity with real-time and batch data processing • Strong understanding of data governance principles • Ability to collaborate with cross-functional teams to achieve common goals.
If you're passionate about data and AI, and want to contribute to innovative solutions in a dynamic environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.