Senior AI Data Engineer

Навыки

• AI-инструменты в работе
• Airflow
• AWS
• Azure
• CI/CD
• ClickHouse
• Dagster / Prefect / Luigi

О компании и продукте

• We are seeking a Senior AI Data Engineer to design, build, and maintain scalable data platforms and AI-ready data pipelines that power machine learning, generative AI, analytics, and business intelligence solutions

Задачи

• Data Engineering & Architecture
• Design, develop, and optimize scalable batch and real-time data pipelines
• Build and maintain data lakes, data warehouses, and modern data platforms
• Implement data modeling, transformation, validation, and governance processes
• Ensure data quality, reliability, security, and compliance across systems
• Optimize data storage, processing performance, and cost efficiency
• AI & Machine Learning Enablement
• Develop data infrastructure supporting machine learning and generative AI applications
• Create feature engineering pipelines and feature stores
• Support model training, deployment, monitoring, and retraining workflows
• Integrate vector databases, embedding pipelines, and retrieval systems for GenAI applications
• Collaborate with Data Scientists and ML Engineers to operationalize AI solutions
• Cloud & Platform Engineering
• Design cloud-native data solutions on AWS, Azure, or Google Cloud
• Implement infrastructure-as-code and automation practices
• Build CI/CD pipelines for data and AI workloads
• Monitor system performance and troubleshoot production issues
• Leadership & Collaboration
• Participate in architecture reviews and strategic technology decisions
• Collaborate with product managers and business stakeholders to define requirements
• Promote engineering best practices and data governance standards
• A Successful Candidate Must Have
• 5+ years of Data Engineering experience
• 2+ years working with AI/ML platforms or AI-powered products
• Strong Python and SQL skills

Требования

• The ideal candidate combines strong data engineering expertise with a solid understanding of machine learning workflows, MLOps, and modern AI technologies
• The role involves collaborating with data scientists, programmers, and business stakeholders to deliver reliable, high-quality data solutions that enable AI-driven products and decision-making

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