AI Data Engineering Lead

Overview

Role involves architecting and scaling data pipelines for generative video models.

Ideal candidate has deep experience in building data infrastructure for large-scale ML systems.

Locations

• United Kingdom

Requirements

• Experience in building data infrastructure
• Experience in ML engineering
• Experience managing large datasets
• Experience leading small teams
• Expertise in Python and Spark
• Understanding of Kubernetes and Terraform

Responsibilities

• Design and lead scalable data pipelines
• Build systems for data ingestion and quality
• Collaborate on data quality benchmarks
• Optimize performance across data frameworks
• Work with infrastructure teams
• Manage data engineering team
• Collaborate with filmmakers on data acquisition