As an AI Data Engineer, you'll play a crucial role in building and managing data pipelines that support AI and machine learning initiatives. This position is ideal for someone with a solid background in data engineering and a passion for innovative technologies.
In this role as an AI Data Engineer, you will be responsible for designing and implementing scalable data architectures that support various AI and machine learning workloads. Your work will directly impact the development of advanced analytics and Generative AI solutions within a large financial technology environment. You will collaborate closely with teams such as AI Platform Engineering, Data Platform, and MLOps to ensure that data engineering capabilities are robust and effective.
Your day-to-day responsibilities will include creating and managing enterprise-scale data pipelines, ensuring that they are optimized for AI readiness. You will also curate datasets that are tailored for data scientists and AI engineers, enabling them to perform their analyses effectively. This role requires a strong understanding of data governance and privacy, as you will need to maintain operational excellence while driving AI innovation.
The ideal candidate for this position will have a solid background in data engineering, with at least three years of experience in the field. You should be comfortable working in a collaborative environment and have a passion for leveraging data to drive technological advancements. Familiarity with machine learning platforms and advanced analytics is essential, while knowledge of Generative AI and MLOps will be advantageous.
If you are excited about the intersection of data engineering and AI, and you thrive in a fast-paced, innovative setting, this role could be a great fit for you.
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