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 with a strong background in data engineering and a passion for advanced analytics.
In this role, you will be responsible for designing, building, and operating data pipelines and products tailored for AI and advanced analytics. You'll collaborate with various teams, including AI Platform Engineering and MLOps, to ensure that the data solutions you create are accurate and ready for production use. Your work will directly support machine learning models and AI-driven business services.
Your daily tasks will involve enabling feature engineering, creating curated datasets, and managing both real-time and batch data pipelines. You'll also implement data quality controls to ensure that the data powering AI solutions meets compliance and accuracy standards.
This position is well-suited for someone with a solid background in data engineering and a keen interest in AI applications. If you enjoy working in a collaborative environment and have experience with data platforms, this role could be a great fit for you.
Key requirements include a strong understanding of data pipeline design and development, as well as experience with feature engineering and data quality management. Familiarity with AI and machine learning concepts will be beneficial, especially in the context of telecommunications.
You'll be taken to the original listing on PNet to apply.