AI Data Engineer

Job Summary

Designing and operating enterprise-grade data and AI platforms, the full-time remote AI Data Engineer will focus on implementing GitOps principles, managing data pipelines, and ensuring the stability and governance of AI systems in alignment with security standards.

Key Responsibilities

• Design, build, and operate data and AI platforms using Git-based workflows and Infrastructure as Code
• Develop scalable ETL/ELT pipelines for AI/ML model training and ensure data quality and observability
• Collaborate with cross-functional teams to translate AI and business requirements into durable architectures

Required Qualifications

• Bachelor's Degree in Computer Science, Data Engineering, or equivalent practical experience
• 5 - 7 years of experience in data engineering, platform engineering, or infrastructure roles
• Strong proficiency in Python and SQL, with experience in Git-based workflows and CI/CD pipelines
• Experience operating workloads in Azure and AWS
• Familiarity with large language models (LLMs) and GenAI platforms within enterprise environments