AI Evaluation Engineer (QA)

📋 Description

• Lead discovery-to-scale data pipelines; deliver validated solutions
• Design/build data integration, storage, and infra for analytics/AI
• Operate with high autonomy within strategic goals
• Bridge engineering, business, and data science across teams
• Deliver rapid, business-focused data products with quality
• Collaborate to solve real-world problems with data

🎯 Requirements

• 8–12 years in data engineering leadership with multi-team impact
• Expertise in designing scalable ETL/ELT pipelines
• Cloud-native data infra on AWS/Azure/GCP; IaC (Terraform/CF)
• End-to-end CI/CD for data solutions
• Advanced data modeling (conceptual to physical)
• AI/MLOps readiness; data validation/evaluation frameworks

🎁 Benefits

• Challenging work with real impact
• Access to cutting-edge AI platforms
• Diverse and inclusive culture
• Growth opportunities for development
• Collaborative, innovative environment
• Exposure to high-profile clients