AI/ ML Engineer (Data & Schema Engineering)

Currently, we are searching for an ML/AI Engineer to cooperate with our US client - the company integrates production-grade, governed AI workflows into complex enterprise systems by addressing common friction points like poor integration and lack of domain expertise. The organization combines deep domain knowledge with cutting-edge capabilities to accelerate the deployment of reliable AI products.

• 7+ years of industry experience, including 3+ years in a similar role focused on AI/ML systems
• Strong proficiency in Python and SQL for data processing, analysis, and pipeline development
• Hands-on experience with AI/LLM frameworks, particularly LangChain
• Proven experience designing and evaluating AI models, including benchmarking, test set creation, and performance analysis
• Solid understanding of data schema design, dataset generation, and data quality standards for AI applications
• Experience building and maintaining scalable data and evaluation pipelines in production environments

• Design, implement, and maintain data schema definitions for AI platform inputs, outputs, and intermediate representations
• Ensure schema compatibility with APIs, databases, and downstream systems, including versioning as the platform evolves
• Develop and curate benchmark test sets to evaluate AI/LLM performance across defined use cases
• Build and maintain benchmarking pipelines, run systematic evaluations, and deliver structured performance reports
• Identify performance gaps and collaborate with cross-functional teams to prioritize model improvements
• Generate synthetic and curated datasets, applying data augmentation and labeling techniques while ensuring data quality, diversity, compliance, and proper documentation