Job Description
Role Summary:
We are seeking an AI Data Engineer to design and build reliable, scalable data foundations that support analytics and AI/ML applications. This role focuses on developing robust data pipelines, ensuring feature readiness, and maintaining high data quality and reliability for AI-driven use cases.
Key Responsibilities:
Design, build, and maintain scalable data pipelines to support analytics and AI/ML workloads
Develop and optimize data warehouse and lakehouse architectures
Ensure data quality, freshness, reliability, and SLA compliance for critical datasets
Support feature engineering, training datasets, and model inference pipelines
Improve data discoverability and usability through metadata management, data lineage, and documentation
Collaborate closely with data analysts, data scientists, and AI/ML engineers to enable end-to-end data solutions
Job Requirements:
Bachelor Degree's in Data Engineering, Data Analytics or relevant data courses.
We are seeking an AI Data Engineer to design and build reliable, scalable data foundations that support analytics and AI/ML applications. This role focuses on developing robust data pipelines, ensuring feature readiness, and maintaining high data quality and reliability for AI-driven use cases.
Key Responsibilities:
Design, build, and maintain scalable data pipelines to support analytics and AI/ML workloads
Develop and optimize data warehouse and lakehouse architectures
Ensure data quality, freshness, reliability, and SLA compliance for critical datasets
Support feature engineering, training datasets, and model inference pipelines
Improve data discoverability and usability through metadata management, data lineage, and documentation
Collaborate closely with data analysts, data scientists, and AI/ML engineers to enable end-to-end data solutions
Job Requirements:
Bachelor Degree's in Data Engineering, Data Analytics or relevant data courses.
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