As an AI Data Engineer, you'll create and manage data pipelines that support AI and analytics teams. This role is perfect for someone with a strong background in data engineering and a passion for enabling AI innovation.
In this role as an AI Data Engineer, you will be responsible for creating AI-ready datasets that empower data scientists and AI engineers. Your main task will be to design and build enterprise-scale data pipelines that facilitate both real-time and batch processing. This position is crucial for ensuring that the data platforms are high-quality, scalable, and secure, which is essential for supporting advanced analytics and machine learning initiatives.
You will work closely with various teams, including AI Platform Engineering, Data Platform teams, and MLOps, to develop robust data engineering capabilities. Your collaboration will extend to AI Application Engineers, Security, Risk, and business stakeholders to ensure that the data solutions you create are not only effective but also adhere to enterprise governance and privacy standards.
This role is ideal for someone with a solid background in data engineering and a keen interest in AI technologies. You should have experience in designing data pipelines and developing data products that meet the needs of analytics teams. A good understanding of financial technology and familiarity with MLOps will be advantageous.
Key responsibilities include: • Designing and building data pipelines • Ensuring data quality and governance • Supporting real-time and batch data processing • Collaborating with cross-functional teams to enhance AI capabilities
If you are passionate about data and eager to contribute to AI innovation in a financial technology environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.