As an AI Data Engineer, you'll play a crucial role in building and maintaining data pipelines that support advanced AI applications. This position is ideal for someone with a strong background in data engineering and a passion for AI technologies.
In this role as an AI Data Engineer, you will be at the forefront of building data solutions that empower AI and advanced analytics. Your primary responsibility will be to design and implement data pipelines that ensure the availability of high-quality data for machine learning models and AI applications. You will collaborate closely with various teams, including AI Platform Engineering and MLOps, to ensure that the data solutions are robust and compliant with industry standards.
Your day-to-day tasks will include feature engineering, creating curated datasets, and establishing data quality controls. You will also work on both real-time and batch data processing, ensuring that the data is ready for production use. This role requires a strong understanding of data engineering principles and the ability to work with complex datasets.
The ideal candidate for this position will have experience in designing data pipelines and a solid grasp of the requirements for AI and analytics use cases. You should be comfortable working in a fast-paced environment and be able to communicate effectively with both technical and non-technical stakeholders.
Key requirements for this role include: • Proven experience in data pipeline design and implementation • Strong skills in feature engineering and data quality control • Familiarity with real-time and batch data processing techniques • Ability to work collaboratively with cross-functional teams
This position is a great fit for someone looking to advance their career in data engineering while contributing to innovative AI solutions in the telecommunications sector.
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