As an AI Data Engineer, you'll be at the forefront of building data solutions that drive AI innovation in a financial tech environment. This role is ideal for someone who enjoys working with data and collaborating with various teams to create impactful AI-ready datasets.
In this role as an AI Data Engineer, you will be responsible for designing and building enterprise-scale data pipelines that support advanced analytics and machine learning initiatives. You will work closely with various teams, including AI Platform Engineering and Data Platform teams, to create robust data engineering capabilities that enable AI innovation while ensuring compliance with governance and security standards.
Your day-to-day tasks will involve developing AI-ready datasets for data scientists and AI engineers, ensuring that the data platforms are high-quality, scalable, and secure. You will also be involved in both real-time and batch processing, making sure that the data is readily available for analytics and machine learning applications.
This position is well-suited for someone with a solid background in data engineering and a passion for AI. You should have experience in creating data pipelines and products that meet the needs of various stakeholders. Strong skills in data governance and security are essential, as you will be working in a regulated financial environment.
Key responsibilities include: • Designing and building data pipelines • Developing AI-ready datasets • Collaborating with cross-functional teams • Ensuring data governance and security • Supporting machine learning initiatives
If you are looking to make a significant impact in a dynamic financial technology setting, this role offers the opportunity to contribute to cutting-edge AI solutions while working in a collaborative and innovative environment.
You'll be taken to the original listing on PNet to apply.