As an AI Data Engineer, you'll design and build data pipelines that support AI and analytics. This role is perfect for someone who enjoys working with data and collaborating with various teams to deliver high-quality solutions.
In this role as an AI Data Engineer, you will be at the forefront of designing and building data pipelines tailored for AI and advanced analytics. Your work will involve creating data products that are essential for machine learning models and AI applications, ensuring that the data used is accurate and compliant. You will collaborate closely with various teams, including AI Platform Engineering and MLOps, to ensure that the data solutions meet the needs of the business and adhere to industry standards.
Your daily responsibilities will include enabling feature engineering, developing curated datasets, and managing both real-time and batch data pipelines. You will also implement data quality controls to support the integrity of the data used in AI systems. This role is ideal for someone who has a strong background in data engineering and is passionate about leveraging data for advanced analytics.
To succeed in this position, you should have a solid understanding of data pipeline design and data product development. Familiarity with AI and machine learning concepts will be beneficial, as well as experience in the telecommunications sector. You will need to be proactive and detail-oriented, ensuring that the data solutions you create are not only functional but also reliable and compliant with regulations.
You'll be taken to the original listing on PNet to apply.