As an AI Data Engineer, you'll play a crucial role in building and managing data systems that support AI initiatives. This position is ideal for someone who enjoys working with data and collaborating with various teams to ensure data is accurate and ready for use in machine learning applications.
In this role as an AI Data Engineer, you will be at the forefront of designing and implementing data pipelines that are essential for AI and advanced analytics. Your work will involve collaborating with various teams, including AI Platform Engineering and MLOps, to ensure that the data used for machine learning models is both accurate and compliant. You will be responsible for creating curated datasets and managing both real-time and batch data processing systems that support AI-driven business services.
Your daily tasks will include building data products that enable feature engineering and ensuring data quality controls are in place. You will also need to work closely with business stakeholders to understand their data needs and ensure that the solutions you develop meet those requirements. This role is well-suited for someone with a strong background in data engineering and a passion for AI applications.
Key responsibilities include: • Designing and building data pipelines for AI use cases • Collaborating with cross-functional teams to ensure data readiness • Implementing data quality controls and monitoring systems • Supporting machine learning models and AI applications with reliable data
To succeed in this position, you should have a solid understanding of data engineering principles and experience in creating data solutions that support AI initiatives. Familiarity with compliance and security practices in data management will also be beneficial. If you enjoy working in a dynamic environment and are excited about the potential of AI, this role could be a great fit for you.
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