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 are essential for advanced analytics and machine learning applications.
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 meet enterprise governance and privacy standards. Your work will directly contribute to accelerating AI innovation within the organization.
The ideal candidate for this role should have a solid background in data engineering, with at least three years of experience. You should be skilled in designing data pipelines and developing data products, with a strong understanding of data governance principles. Familiarity with financial technology and machine learning concepts will be beneficial, but the primary focus will be on your ability to manage and optimize data for AI applications.
If you are passionate about data and eager to contribute to cutting-edge AI solutions, this role is a great fit for you. You will play a key role in shaping the future of data-driven decision-making in a dynamic and innovative environment.
You'll be taken to the original listing on PNet to apply.