Data Pipeline Operations: Extensive experience maintaining and troubleshooting data pipelines built with tools like Apache Airflow, Prefect, cloud data services (AWS, Azure, GCP), and data processing frameworks (Spark, Kafka), ensuring reliable data flow for AI systems. Knowledge and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a minimum of 3 years of experience in IT operations, with at least 1 year focused on AI/ML systems and data pipeline support.