AI Evaluation Engineer (QA)

📋 Description

• Lead discovery-to-scale data engineering work for a strategic partner in a forward-deployed role.
• Design and build data integration, storage systems, and infrastructure to enable analytics and AI
• Define direction within strategic goals and collaborate across multiple teams to deliver value.

🎯 Requirements

• Bachelor’s degree in CS or Engineering; 8–12 years leading complex data engineering projects.
• Proven experience in enterprise data integration and architecture; ETL/ELT pipelines; handling
• Cloud-native data ecosystems experience on AWS, Azure, or GCP; IaC with Terraform/CloudFormation
• Advanced data modeling (conceptual, logical, physical) and safe migration in production.
• AI/MLOps readiness; data validation/evaluation frameworks for AI/ML governance.
• Full-stack data app delivery across diverse stacks; strong focus on speed and business value.

🎁 Benefits

• Challenging work with real impact; access to cutting-edge AI platforms.
• Diverse, inclusive culture with growth opportunities.
• Exposure to high-profile projects and clients; collaborative environment.
• Hybrid working model and leadership access; supportive recruitment process.