As an AI Data Engineer, you'll play a crucial role in developing data engineering capabilities that support AI innovation. This position is ideal for someone with a strong background in data pipelines and collaboration with AI teams.
In this role as an AI Data Engineer, you'll work closely with various teams including AI Platform Engineering, Data Platform, and MLOps to enhance data engineering capabilities. Your main responsibility will be to design, build, and operate data pipelines that are essential for AI applications and advanced analytics within a large financial technology environment.
Your day-to-day tasks will involve creating AI-ready datasets that support data scientists and AI engineers, ensuring that the data is curated and accessible for their needs. You'll also collaborate with different teams to streamline the deployment of AI models, making sure that they are production-ready and can operate efficiently.
This position suits someone with a solid background in data engineering, particularly in environments that emphasize MLOps and AI production workloads. You'll need to have experience in designing robust data systems and a good understanding of enterprise governance and privacy standards.
Key requirements include: • Proven experience in data pipeline design and development • Ability to work collaboratively with AI and analytics teams • Familiarity with MLOps practices and environments • Strong problem-solving skills and attention to detail
If you're looking to be part of a dynamic team that values innovation and operational excellence, this role could be a great fit for you.
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