As an AI Data Engineer, you'll design and build data pipelines that support AI and analytics. This role is perfect for those who enjoy working with data and want to contribute to innovative AI solutions.
In this role as an AI Data Engineer, you'll be at the forefront of designing and building data pipelines tailored for AI applications. Your work will involve collaborating with various teams, including AI Platform Engineering and MLOps, to ensure that the data powering AI solutions is accurate and production-ready. This position is crucial for enabling advanced analytics and machine learning models within the telecommunications sector.
Your day-to-day responsibilities will include: • Designing and implementing data pipelines for both real-time and batch processing. • Ensuring data quality and compliance across all datasets. • Supporting feature engineering efforts to enhance machine learning capabilities. • Collaborating with business stakeholders to align data solutions with organizational needs.
This role is ideal for someone with a strong background in data engineering and a passion for AI technologies. You should be comfortable working in a fast-paced environment and have experience in building data products that support advanced analytics. Familiarity with the telecommunications industry and MLOps practices will be beneficial, but the key requirement is a solid understanding of data pipeline design and data quality control.
If you're looking to make an impact in a tech-driven company and enjoy working with data to drive AI solutions, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.