Artificial Intelligence Pipeline Architect

Qualifications

• This position requires a seasoned professional with over 5 years of experience in feature engineering, data labeling, and comprehensive ML lifecycle management
• The ideal candidate will have delivered reliable and scalable data operations using technologies such as Apache Kafka, Apache Spark, Apache Flink, Airflow, or similar
• They will be adept at architecting sophisticated Enterprise Data Models, seamlessly integrating diverse data sources through both ETL and ELT methodologies
• Proficiency with cloud platforms like AWS, Azure, and GCP, coupled with Kubernetes-based deployments, is essential

Full Description

About the Role

This position requires a seasoned professional with over 5 years of experience in feature engineering, data labeling, and comprehensive ML lifecycle management. The ideal candidate will have delivered reliable and scalable data operations using technologies such as Apache Kafka, Apache Spark, Apache Flink, Airflow, or similar.

They will be adept at architecting sophisticated Enterprise Data Models, seamlessly integrating diverse data sources through both ETL and ELT methodologies. Proficiency with cloud platforms like AWS, Azure, and GCP, coupled with Kubernetes-based deployments, is essential.